* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘CausalQueries’ ...
** this is package ‘CausalQueries’ version ‘1.4.4’
** package ‘CausalQueries’ successfully unpacked and MD5 sums checked
** using staged installation
Registered S3 methods overwritten by 'RcppEigen':
method from
predict.fastLm RcppArmadillo
print.fastLm RcppArmadillo
summary.fastLm RcppArmadillo
print.summary.fastLm RcppArmadillo
** libs
using C++ compiler: ‘g++-14 (Debian 14.3.0-10) 14.3.0’
using C++17
make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9XiHYz/R.INSTALL2dd7936bc6e530/CausalQueries/src'
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppArmadillo/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:5:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppArmadillo/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c get_type_prob_helpers_arma.cpp -o get_type_prob_helpers_arma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppArmadillo/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c realise_outcome_c.cpp -o realise_outcome_c.o
realise_outcome_c.cpp: In function ‘std::vector<std::vector<std::__cxx11::basic_string<char> > > realise_outcomes_c(std::vector<std::vector<std::__cxx11::basic_string<char> > >&, const std::vector<std::vector<int> >&, const std::vector<int>&, const int&)’:
realise_outcome_c.cpp:52:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
52 | for(int i = 0; i < endogenous_vars.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
realise_outcome_c.cpp:59:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
59 | for(int k = 0; k < parents_list[endog_var].size(); ++k){
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppArmadillo/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c stanExports_simplexes.cc -o stanExports_simplexes.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/rstaninc.hpp:3,
from stanExports_simplexes.h:23,
from stanExports_simplexes.cc:5:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from ‘struct Eigen::internal::traits<Eigen::LDLT<Eigen::Matrix<double, -1, -1> > >’
19 | template<typename _MatrixType, int _UpLo> struct traits<LDLT<_MatrixType, _UpLo> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase<Eigen::LDLT<Eigen::Matrix<double, -1, -1> > >’
42 | typedef typename internal::traits<Derived>::StorageKind StorageKind;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from ‘class Eigen::SolverBase<Eigen::LDLT<Eigen::Matrix<double, -1, -1> > >’
68 | class SolverBase : public EigenBase<Derived>
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1> >’
59 | template<typename _MatrixType, int _UpLo> class LDLT
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here
46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive()
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1> >’
69 | MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here
46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive()
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1> >’
287 | TmpMatrixType m_temporary;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here
46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive()
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here
47 | || (cholesky.vectorD().array() <= 0.0).any()) {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here
47 | || (cholesky.vectorD().array() <= 0.0).any()) {
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here
47 | || (cholesky.vectorD().array() <= 0.0).any()) {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here
35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here
35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here
37 | Eigen::VectorXd v = Eigen::VectorXd::LinSpaced(K, low, high);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here
32 | return Eigen::RowVectorXd::LinSpaced(K, low, high);
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here
32 | return Eigen::RowVectorXd::LinSpaced(K, low, high);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here
58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here
58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here
58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here
71 | A.diagonal().array() -= mu;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here
71 | A.diagonal().array() -= mu;
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here
86 | bi = (t / (s * (j + 1))) * (A * bi);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here
86 | bi = (t / (s * (j + 1))) * (A * bi);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here
86 | bi = (t / (s * (j + 1))) * (A * bi);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:178:58: required from here
178 | alpha = Eigen::VectorXd::Constant(_p_max - 1, normA);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:44: required from ‘stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> [with auto:244 = Eigen::Matrix<double, -1, -1>]’
57 | x, [](const auto& v) { return v.array().ceil(); });
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>; T2 = Eigen::Matrix<double, -1, -1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]’
56 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
57 | x, [](const auto& v) { return v.array().ceil(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here
197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
| ~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:51: required from ‘stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> [with auto:244 = Eigen::Matrix<double, -1, -1>]’
57 | x, [](const auto& v) { return v.array().ceil(); });
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>; T2 = Eigen::Matrix<double, -1, -1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]’
56 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
57 | x, [](const auto& v) { return v.array().ceil(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here
197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
| ~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> >(const Eigen::Matrix<double, -1, -1>&, const stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> >(const Eigen::Matrix<double, -1, -1>&, const stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1, 0, -1, -1> > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>; T2 = Eigen::Matrix<double, -1, -1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
47 | f(x));
| ~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]’
56 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
57 | x, [](const auto& v) { return v.array().ceil(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here
197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
| ~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here
203 | int cost = c.colwise().minCoeff().minCoeff(&m);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here
25 | Eigen::RowVectorXd ret = Eigen::RowVectorXd::Zero(K);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here
13 | : m_(Eigen::VectorXd::Zero(n)), m2_(Eigen::MatrixXd::Zero(n, n)) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here
26 | Eigen::VectorXd delta(q - m_);
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here
27 | m_ += delta / num_samples_;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here
27 | m_ += delta / num_samples_;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here
28 | m2_ += (q - m_) * delta.transpose();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here
28 | m2_ += (q - m_) * delta.transpose();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here
37 | covar = m2_ / (num_samples_ - 1.0);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here
28 | m2_ += delta.cwiseProduct(q - m_);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/coupled_ode_system.hpp:77:63: required from here
77 | Eigen::Map<Eigen::VectorXd>(dz_dt.data(), dz_dt.size()) = f_y_t;
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor.hpp:13,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:15,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp:7,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:43,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/rstaninc.hpp:4:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::combination(std::vector<int>&, const int&, const int&, const int&)’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
73 | for (std::size_t i = 0; i < p - 1; i++) {
| ~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
79 | } while (k < x);
| ~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::combos(const int&, const double&, const int&, std::vector<std::vector<double> >&)’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) {
| ~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
105 | for (std::size_t j = 0; j != k; j++) {
| ~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::increment(std::vector<bool>&, const int&, const double&, const std::vector<int>&, std::vector<double>&)’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
126 | for (std::size_t j = 0; j != k; j++) {
| ~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<bool>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
132 | while ((first_zero < index.size()) && index[first_zero]) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<bool>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
135 | if (first_zero == index.size()) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
143 | for (std::size_t i = 0; i != first_zero + 1; i++) {
| ~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector<std::vector<double> >&)’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) {
| ~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here
40 | coupled_state.size());
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:39: required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]’
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)>; T = Eigen::Matrix<double, -1, 1>]’
93 | return f(x);
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
83 | return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
84 | if (v.size() == 0) {
| ~~~~~~~~~~~~~~~~~~~~
85 | return NEGATIVE_INFTY;
| ~~~~~~~~~~~~~~~~~~~~~~
86 | }
| ~
87 | const auto& v_ref = to_ref(v);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
88 | const double max = v_ref.maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
89 | if (!std::isfinite(max)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
90 | return max;
| ~~~~~~~~~~~
91 | }
| ~
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
93 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here
59 | double log_sum_y = log_sum_exp(log_y);
| ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]’
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)>; T = Eigen::Matrix<double, -1, 1>]’
93 | return f(x);
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
83 | return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
84 | if (v.size() == 0) {
| ~~~~~~~~~~~~~~~~~~~~
85 | return NEGATIVE_INFTY;
| ~~~~~~~~~~~~~~~~~~~~~~
86 | }
| ~
87 | const auto& v_ref = to_ref(v);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
88 | const double max = v_ref.maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
89 | if (!std::isfinite(max)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
90 | return max;
| ~~~~~~~~~~~
91 | }
| ~
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
93 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here
59 | double log_sum_y = log_sum_exp(log_y);
| ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]’
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)>; T = Eigen::Matrix<double, -1, 1>]’
93 | return f(x);
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
83 | return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
84 | if (v.size() == 0) {
| ~~~~~~~~~~~~~~~~~~~~
85 | return NEGATIVE_INFTY;
| ~~~~~~~~~~~~~~~~~~~~~~
86 | }
| ~
87 | const auto& v_ref = to_ref(v);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
88 | const double max = v_ref.maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
89 | if (!std::isfinite(max)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
90 | return max;
| ~~~~~~~~~~~
91 | }
| ~
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
93 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here
59 | double log_sum_y = log_sum_exp(log_y);
| ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:52: required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]’
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)>; T = Eigen::Matrix<double, -1, 1>]’
93 | return f(x);
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
83 | return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
84 | if (v.size() == 0) {
| ~~~~~~~~~~~~~~~~~~~~
85 | return NEGATIVE_INFTY;
| ~~~~~~~~~~~~~~~~~~~~~~
86 | }
| ~
87 | const auto& v_ref = to_ref(v);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
88 | const double max = v_ref.maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
89 | if (!std::isfinite(max)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
90 | return max;
| ~~~~~~~~~~~
91 | }
| ~
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
93 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here
59 | double log_sum_y = log_sum_exp(log_y);
| ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here
38 | Eigen::VectorXd stddev = S_ldlt.vectorD().array().sqrt().matrix();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here
46 | = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z));
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here
46 | = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z));
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here
135 | Eigen::VectorXd(F.transpose() * theta_t), V_ldlt, rng);
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/hmm_hidden_state_prob.hpp:77:52: required from here
77 | alphas.col(n) = alphas.col(n).cwiseProduct(beta);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:71:73: required from here
71 | probs_vec = alphas.col(n_transitions) / alphas.col(n_transitions).sum();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here
49 | return L_S.template triangularView<Eigen::Lower>() * B.transpose();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here
49 | return L_S.template triangularView<Eigen::Lower>() * B.transpose();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:25:32: required from here
25 | S_inv = ldlt_of_S.solve(S_inv);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here
27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here
27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here
27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here
89 | = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here
89 | = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here
109 | (Sigma_ldlt.matrixU().solve(X)).transpose()))
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of ‘template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]’
108 | * (D_ldlt.matrixU().solve(
| ~~~~~~~~~~~~~~~~~~~~~~^
109 | (Sigma_ldlt.matrixU().solve(X)).transpose()))
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here
110 | .transpose()
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here
110 | .transpose()
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here
110 | .transpose()
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here
111 | * D_ldlt.transpositionsP());
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here
111 | * D_ldlt.transpositionsP());
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
62 | return x.unaryExpr([](auto&& x) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
63 | return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from ‘struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>’
72 | apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from ‘auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]’
120 | return apply_scalar_unary<lgamma_fun, T>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here
39 | lp += lgamma(1 + ns_map.sum()) - lgamma(1 + ns_map).sum();
| ~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_cdf_log.hpp:5,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob.hpp:242,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:16:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lcdf.hpp: In function ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::normal_lcdf(const T_y&, const T_loc&, const T_scale&)’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lcdf.hpp:88: note: ‘-Wmisleading-indentation’ is disabled from this point onwards, since column-tracking was disabled due to the size of the code/headers
88 | } else if (10.0 * log(fabs(scaled_diff))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/normal_lcdf.hpp:88: note: adding ‘-flarge-source-files’ will allow for more column-tracking support, at the expense of compilation time and memory
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp: In member function ‘virtual std::vector<std::complex<double> > stan::io::dump::vals_c(const std::string&) const’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp:694: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/dump.hpp:707: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
707 | real_iter < val_i->second.first.size();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:0: required from here
102 | if (C_adj.size() > 0) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:0: required from here
111 | = D_adj.adjoint().template triangularView<StrictlyUpper>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:0: required from here
116 | D_adj.diagonal() *= 0.5;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
59 | template<typename Derived> class RefBase
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from ‘class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
76 | MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:0: required from here
142 | check_pos_definite("cholesky_decompose", "m", L_factor);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1>, void>’
13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:0: required from here
144 | L_A.template triangularView<Eigen::StrictlyUpper>().setZero();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:0: required from here
42 | y_val.row(m).head(m) = x.val().segment(pos, m);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
28 | * arena_L_val.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
28 | * arena_L_val.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here
94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here
94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here
94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here
94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here
94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of ‘template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::SparseMatrix<double, 1> >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]’
29 | = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
| ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::SparseMatrix<double, 1> >’
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: required from ‘struct stan::is_eigen<Eigen::SparseMatrix<double, 1> >’
21 | : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:301:0: required by substitution of ‘template<class T> class stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix<double, 1>]’
301 | (is_eigen<T>::value || is_kernel_expression_and_not_scalar<T>::value)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0: required from here
120 | arena_t<return_t> res = w_mat_arena.val() * value_of(b_arena);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1>’
148 | class SparseMapBase<Derived,WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:129:0: required from ‘class stan::math::arena_matrix<Eigen::SparseMatrix<double, 1>, void>’
129 | class arena_matrix<MatrixType, require_eigen_sparse_base_t<MatrixType>>
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:814:0: required from ‘class stan::math::vari_value<Eigen::SparseMatrix<double, 1>, void>’
814 | using InnerIterator = typename arena_matrix<PlainObject>::InnerIterator;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:419:0: required from ‘const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix<double, 1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
419 | inline const auto& val() const noexcept { return vi_->val(); }
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0: required from here
120 | arena_t<return_t> res = w_mat_arena.val() * value_of(b_arena);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
97 | >::type SubDiagonalReturnType;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:0: required from here
40 | arena_t<eigval_return_t> eigenvals = solver.eigenvalues();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:0: required from here
27 | g = x.adj();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here
49 | var log_det = sum(log(M_ldlt.vectorD()));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here
49 | var log_det = sum(log(M_ldlt.vectorD()));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&, const stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&, const stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0> > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:169&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
47 | f(x));
| ~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here
49 | var log_det = sum(log(M_ldlt.vectorD()));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1, 1, -1, -1>, void>’
13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:0: required from here
51 | reverse_pass_callback([arena_M, log_det, arena_M_inv_transpose]() mutable {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:0: required from here
73 | vector_d diff = (x_d.array() - x_d.maxCoeff());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:81:0: required from here
81 | Eigen::Map<vector_d>(softmax_x_d_array, a_size) = softmax_x_d.array() / sum;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:50:0: required from here
50 | arena_powers[0] = Eigen::MatrixXd::Identity(N, N);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:53:0: required from here
53 | arena_powers[i] = arena_powers[1] * arena_powers[i - 1];
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:0: required from here
63 | adj_M += adj_C * arena_powers[i - 1].transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0: required from here
64 | adj_C = M_val.transpose() * adj_C;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0: required from here
64 | adj_C = M_val.transpose() * adj_C;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from here
67 | Eigen::Map<matrix_vi>(variRefB_, M_, N_).adj() += adjB;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0: required from here
85 | adjA = -adjB * Map<matrix_d>(C_, M_, N_).transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0: required from here
85 | adjA = -adjB * Map<matrix_d>(C_, M_, N_).transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:0: required from here
25 | matrix_d M = 0.5 * (Cd + Cd.transpose());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:0: required from here
55 | L.col(0).tail(pull) = CPCs.val().head(pull);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>’
13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:0: required from here
56 | arena_acc.tail(pull) = 1.0 - CPCs.val().head(pull).array().square();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:0: required from here
63 | L.col(i).tail(pull) = cpc_seg * arena_acc.tail(pull).sqrt();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0: required from here
86 | -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0: required from here
86 | -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here
90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here
90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here
90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here
90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:0: required from here
56 | sds.adj() += (prod.adj().cwiseProduct(corr_L.val())).rowwise().sum();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:0: required from here
41 | x.adj() += (2 * res.adj()).asDiagonal() * x.val();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:0: required from here
56 | arena_Fp.diagonal().setZero();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0: required from here
69 | * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0: required from here
69 | * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:0: required from here
70 | .matrix()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0: required from here
61 | .matrix()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0: required from here
61 | .matrix()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
278 | typedef typename DiagonalVectorType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
42 | typedef typename internal::traits<Derived>::StorageKind StorageKind;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from ‘class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
18 | class DiagonalBase : public EigenBase<Derived>
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from ‘class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
293 | class DiagonalWrapper
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:0: required from here
63 | + arena_U * arena_D.asDiagonal().inverse()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here
79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here
79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here
79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:0: required from here
80 | v1_map.adj() += di;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0: required from here
111 | += 2 * adj_ * (v1_map.val() - Eigen::Map<vector_d>(v2_, length_));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0: required from here
111 | += 2 * adj_ * (v1_map.val() - Eigen::Map<vector_d>(v2_, length_));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:0: required from here
23 | vector_d dtrs_vals = dtrs_map.val();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0: required from here
25 | vector_d diff = dtrs_vals.array() - dtrs_vals.mean();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0: required from here
27 | Eigen::Map<vector_d>(partials, size) = 2 * diff.array() / size_m1;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0: required from here
27 | Eigen::Map<vector_d>(partials, size) = 2 * diff.array() / size_m1;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/jacobian.hpp:26:0: required from here
26 | fx = fx_var.val();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)> [with auto:11 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_dense_base_t<EigMat>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]’
73 | return make_holder(
| ~~~~~~~~~~~^
74 | [](auto& a) {
| ~~~~~~~~~~~~~
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | },
| ~~
77 | std::forward<EigMat>(M));
| ~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:0: required from here
101 | y_dummy(stan::math::value_of(y)),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0: required from here
369 | Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0: required from here
369 | Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/cvodes_integrator_adjoint.hpp:604:0: required from here
604 | f_y_t_vars.adj() = -Eigen::Map<Eigen::VectorXd>(NV_DATA_S(yB), N_);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/finite_diff_hessian_times_vector_auto.hpp:62:0: required from here
62 | hvp = (grad_forward - grad_backward) / (2 * epsilon);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/initialize.hpp:7,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:49:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function ‘virtual std::vector<std::complex<double> > stan::io::random_var_context::vals_c(const std::string&) const’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/random_var_context.hpp:111: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:0: required from here
182 | return normal_fullrank(Eigen::VectorXd(mu_.array().square()),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:0: required from here
183 | Eigen::MatrixXd(L_chol_.array().square()));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:0: required from here
197 | return normal_fullrank(Eigen::VectorXd(mu_.array().sqrt()),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:0: required from here
198 | Eigen::MatrixXd(L_chol_.array().sqrt()));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:0: required from here
263 | L_chol_.array() /= rhs.L_chol().array();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0: required from here
351 | return (L_chol_ * eta) + mu_;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0: required from here
351 | return (L_chol_ * eta) + mu_;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:0: required from here
459 | L_grad.diagonal().array() += L_chol_.diagonal().array().inverse();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here
314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here
314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here
314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:0: required from here
370 | omega_grad.array() += tmp_mu_grad.array().cwiseProduct(eta.array());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:0: required from here
388 | omega_grad.array() = omega_grad.array().cwiseProduct(omega_.array().exp());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:0: required from here
175 | rho = rho_bck + rho_fwd;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:0: required from here
53 | z.p = z.inv_e_metric_.llt().matrixU().solve(u);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from ‘auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]’
133 | return Eigen::Map<const Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>>(
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
134 | &x[0], m, n);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:0: required from here
33 | inv_metric = stan::math::to_matrix(dense_vals, num_params, num_params);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:0: required from here
27 | covar = (n / (n + 5.0)) * covar
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0: required from here
29 | * Eigen::MatrixXd::Identity(covar.rows(), covar.cols());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0: required from here
29 | * Eigen::MatrixXd::Identity(covar.rows(), covar.cols());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: recursively required by substitution of ‘template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]’
21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from here
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:0: required from here
27 | var = (n / (n + 5.0)) * var
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0: required from here
28 | + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0: required from here
28 | + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:68:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function ‘virtual std::vector<std::complex<double> > stan::io::array_var_context::vals_c(const std::string&) const’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:304: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:317: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
317 | real_iter < val_i->second.first.size();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0: required from here
72 | Eigen::Map<Eigen::VectorXd>(&row[0], draws.cols()) = draws.row(i);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1>, void>’
13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:0: required from here
145 | x_ret_vals.coeffRef(j) = x.val().coeff(row_idx_val, col_idx_vals[j]);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_header.hpp:11,
from stanExports_simplexes.h:25:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp: At global scope:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:159: warning: ‘stan::math::var stan::model::model_base_crtp<M>::log_prob(std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >&, std::vector<int>&, std::ostream*) const [with M = model_simplexes_namespace::model_simplexes; stan::math::var = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
159 | inline math::var log_prob(std::vector<math::var>& theta,
stanExports_simplexes.h:1230: note: by ‘model_simplexes_namespace::model_simplexes::log_prob’
1230 | log_prob(std::vector<T_>& params_r, std::vector<int>& params_i,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:154: warning: ‘double stan::model::model_base_crtp<M>::log_prob(std::vector<double>&, std::vector<int>&, std::ostream*) const [with M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
154 | inline double log_prob(std::vector<double>& theta, std::vector<int>& theta_i,
stanExports_simplexes.h:1230: note: by ‘model_simplexes_namespace::model_simplexes::log_prob’
1230 | log_prob(std::vector<T_>& params_r, std::vector<int>& params_i,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:96: warning: ‘stan::math::var stan::model::model_base_crtp<M>::log_prob(Eigen::Matrix<stan::math::var_value<double>, -1, 1>&, std::ostream*) const [with M = model_simplexes_namespace::model_simplexes; stan::math::var = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
96 | inline math::var log_prob(Eigen::Matrix<math::var, -1, 1>& theta,
stanExports_simplexes.h:1230: note: by ‘model_simplexes_namespace::model_simplexes::log_prob’
1230 | log_prob(std::vector<T_>& params_r, std::vector<int>& params_i,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/model_base_crtp.hpp:91: warning: ‘double stan::model::model_base_crtp<M>::log_prob(Eigen::VectorXd&, std::ostream*) const [with M = model_simplexes_namespace::model_simplexes; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::ostream = std::basic_ostream<char>]’ was hidden [-Woverloaded-virtual=]
91 | inline double log_prob(Eigen::VectorXd& theta,
stanExports_simplexes.h:1230: note: by ‘model_simplexes_namespace::model_simplexes::log_prob’
1230 | log_prob(std::vector<T_>& params_r, std::vector<int>& params_i,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:344:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, index_min_max) [with Mat = const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
344 | return x.middleRows(idx.min_ - 1, idx.max_ - idx.min_ + 1);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&; Idx = index_min_max; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
583 | return rvalue(std::forward<Mat>(x), name, row_idx);
stanExports_simplexes.h:704:0: required from here
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_t<T_y>* <anonymous> = 0]’
187 | return v.segment(slice_start, slice_size);
stanExports_simplexes.h:742:0: required from here
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t<Eigen::Map<const Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, int>&)::<lambda(auto:315&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t<Eigen::Map<const Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, int>&)::<lambda(auto:315&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t<Eigen::Map<const Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, int>&)::<lambda(auto:315&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t<Eigen::Map<const Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, int>&)::<lambda(auto:315&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t<Eigen::Map<const Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, int>&)::<lambda(auto:315&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_constrain.hpp:102:18: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
102 | x.unaryExpr([lb, &lp](auto&& xx) { return lb_constrain(xx, lb, lp); }));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<double, -1, 1>; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:826:0: required from here
825 | gamma = in__.template read_constrain_lb<
826 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
827 | gamma_1dim__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:314&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:314&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:314&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:314&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::lb_constrain<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&&, const int&)::<lambda(auto:314&&)>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_constrain.hpp:83:26: required from ‘auto stan::math::lb_constrain(T&&, L&&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; L = const int&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
83 | return eval(x.unaryExpr([lb](auto&& x) { return lb_constrain(x, lb); }));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:388:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<double, -1, 1>; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’
388 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb);
stanExports_simplexes.h:826:0: required from here
825 | gamma = in__.template read_constrain_lb<
826 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
827 | gamma_1dim__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix<double, -1, 1>&; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_t<T_y>* <anonymous> = 0]’
187 | return v.segment(slice_start, slice_size);
stanExports_simplexes.h:865:0: required from here
865 | stan::model::rvalue(gamma, "gamma",
866 | stan::model::index_min_max(
867 | (stan::model::rvalue(l_starts, "l_starts",
868 | stan::model::index_uni(i)) - (i - 1)),
869 | (stan::model::rvalue(l_ends, "l_ends",
870 | stan::model::index_uni(i)) - i))))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, 1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:899:0: required from here
899 | stan::math::divide(raw_params,
900 | stan::model::rvalue(sum_gammas, "sum_gammas",
901 | stan::model::index_uni(i))), "assigning variable lambdas",
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, 1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:899:0: required from here
899 | stan::math::divide(raw_params,
900 | stan::model::rvalue(sum_gammas, "sum_gammas",
901 | stan::model::index_uni(i))), "assigning variable lambdas",
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
18 | return m.transpose();
| ~~~~~~~~~~~^~
stanExports_simplexes.h:941:0: required from here
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Mat2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
107 | return m1 * m2;
| ~~~^~~~
stanExports_simplexes.h:940:0: required from here
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Matrix<double, -1, -1>]’
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)>; T2 = Eigen::Matrix<double, -1, -1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:953:0: required from here
953 | col_sums(stan::math::log(parlam2), pstream__))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>, void>::apply<stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)> >(const Eigen::Matrix<double, -1, -1>&, const stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>, void>::apply<stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)> >(const Eigen::Matrix<double, -1, -1>&, const stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1, 0, -1, -1> > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:169&)>; T2 = Eigen::Matrix<double, -1, -1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
47 | f(x));
| ~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:953:0: required from here
953 | col_sums(stan::math::log(parlam2), pstream__))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:215&)> >(const Eigen::Matrix<double, -1, 1>&, const stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:215&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, 1>, void>::apply<stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:215&)> >(const Eigen::Matrix<double, -1, 1>&, const stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:215&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:215&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
47 | f(x));
| ~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46: required from ‘auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
62 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
63 | x, [](const auto& v) { return v.array().exp(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:951:0: required from here
951 | stan::math::exp(
952 | stan::math::to_vector(
953 | col_sums(stan::math::log(parlam2), pstream__))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
107 | return m1 * m2;
| ~~~^~~~
stanExports_simplexes.h:957:0: required from here
957 | stan::math::multiply(stan::math::transpose(map), w_0_local),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:534:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_uni) [with Mat = const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&; Idx = index_omni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
534 | return rvalue(x.col(col_idx.n_ - 1), name, row_idx);
stanExports_simplexes.h:992:0: required from here
992 | stan::model::rvalue(P, "P", stan::model::index_omni(),
993 | stan::model::index_uni(i)), lambdas),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
28 | return m1.cwiseProduct(m2);
| ~~~~~~~~~~~~~~~^~~~
stanExports_simplexes.h:991:0: required from here
991 | stan::math::elt_multiply(
992 | stan::model::rvalue(P, "P", stan::model::index_omni(),
993 | stan::model::index_uni(i)), lambdas),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:22: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
62 | return (c - m.array()).matrix();
| ~~~~~~~^~
stanExports_simplexes.h:994:0: required from here
994 | stan::math::subtract(1,
995 | stan::model::rvalue(P, "P", stan::model::index_omni(),
996 | stan::model::index_uni(i))))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:13: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
62 | return (c - m.array()).matrix();
| ~~~^~~~~~~~~~~~
stanExports_simplexes.h:994:0: required from here
994 | stan::math::subtract(1,
995 | stan::model::rvalue(P, "P", stan::model::index_omni(),
996 | stan::model::index_uni(i))))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:32: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
62 | return (c - m.array()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:994:0: required from here
994 | stan::math::subtract(1,
995 | stan::model::rvalue(P, "P", stan::model::index_omni(),
996 | stan::model::index_uni(i))))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Mat2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
45 | return m1 + m2;
| ~~~^~~~
stanExports_simplexes.h:990:0: required from here
990 | stan::math::add(
991 | stan::math::elt_multiply(
992 | stan::model::rvalue(P, "P", stan::model::index_omni(),
993 | stan::model::index_uni(i)), lambdas),
994 | stan::math::subtract(1,
995 | stan::model::rvalue(P, "P", stan::model::index_omni(),
996 | stan::model::index_uni(i))))),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits<Eigen::Array<double, 3, 1> >’
17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, 3, 1>’
45 | class Array
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
28 | ArrayAT a_array = as_array_or_scalar(a);
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, 3, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, 3, 1>’
45 | class Array
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
28 | ArrayAT a_array = as_array_or_scalar(a);
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<double>&>(const std::vector<double>&)::<lambda(auto:14&)>; Args = {const std::vector<double, std::allocator<double> >&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<double>&; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_not_std_vector_t<typename stan::value_type<T>::type>* <anonymous> = 0]’
72 | return make_holder([](auto& x) { return T_map(x.data(), x.size()); },
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | std::forward<T>(v));
| ~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
28 | ArrayAT a_array = as_array_or_scalar(a);
| ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk));
| ~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >’
52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk));
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:50: required from ‘stan::math::fabs<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >(const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&)::<lambda(const auto:9&)> [with auto:9 = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >]’
67 | x, [](const auto& v) { return v.array().abs(); });
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >(const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&)::<lambda(const auto:9&)>; T2 = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >; stan::require_t<stan::is_eigen_array<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >]’
53 | return make_holder([](const auto& a) { return a.array().derived(); }, f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from ‘auto stan::math::fabs(const Container&) [with Container = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
66 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
67 | x, [](const auto& v) { return v.array().abs(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk));
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >]’
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&)::<lambda(const auto:169&)>; T2 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >; stan::require_t<stan::is_eigen_array<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >]’
53 | return make_holder([](const auto& a) { return a.array().derived(); }, f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
49 | T_return p = sum(log(abs_apk)) - sum(log(abs_bpk));
| ~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here
16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here
16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
62 | return x.unaryExpr([](auto&& x) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
63 | return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from ‘struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>’
72 | apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from ‘auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]’
120 | return apply_scalar_unary<lgamma_fun, T>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from ‘stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<T>* <anonymous> = 0; stan::return_type_t<T> = double]’
58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here
16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0: required from here
28 | double variance = diff.squaredNorm() / size_m1;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, -1>’
45 | class Array
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0: required from here
280 | L_chol_.array() += scalar;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0: required from here
280 | L_chol_.array() += scalar;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]’
156 | return !((derived()-derived()).hasNaN());
| ~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:0: required from here
31 | if (!covar.allFinite())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector<long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long unsigned int> >&) [with T = long unsigned int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:97:0: required from here
97 | std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:74: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<long unsigned int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (int i = 0; i < dims.size(); i++) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector<long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long unsigned int> >&) [with T = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0: required from here
118 | std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:74: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<long unsigned int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (int i = 0; i < dims.size(); i++) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)> [with auto:1 = Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >]’
110 | return m.unaryExpr([](auto x) { return value_of_rec(x); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >(Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >&&)::<lambda(auto:1&)>; Args = {Eigen::Map<const Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21: required from ‘auto stan::math::value_of_rec(T&&) [with T = Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >; <template-parameter-1-2> = void; <template-parameter-1-3> = void]’
108 | return make_holder(
| ~~~~~~~~~~~^
109 | [](auto& m) {
| ~~~~~~~~~~~~~
110 | return m.unaryExpr([](auto x) { return value_of_rec(x); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | },
| ~~
112 | std::forward<T>(M));
| ~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector<int>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; Idxs = {}]’
157 | auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:293:0: required from here
293 | stan::math::check_greater_or_equal(function__, "n_param_each",
294 | n_param_each, 1);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
57 | return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:13&)>; Args = {const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&; <template-parameter-1-2> = void; stan::require_not_eigen_array_t<T>* <anonymous> = 0]’
57 | return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:49: required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; Idxs = {}]’
157 | auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_simplexes.h:323:0: required from here
323 | stan::math::check_greater_or_equal(function__, "lambdas_prior",
324 | lambdas_prior, 0);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
stanExports_simplexes.h: In instantiation of ‘void model_simplexes_namespace::model_simplexes::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
stanExports_simplexes.h:1258:0: required from here
1258 | unconstrain_array_impl(params_constrained, params_i,
1259 | params_unconstrained, pstream);
stanExports_simplexes.h:1023: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
1023 | int pos__ = std::numeric_limits<int>::min();
stanExports_simplexes.h: In instantiation of ‘void model_simplexes_namespace::model_simplexes::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
stanExports_simplexes.h:1268:0: required from here
1268 | unconstrain_array_impl(params_constrained, params_i,
1269 | params_unconstrained, pstream);
stanExports_simplexes.h:1023: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
1023 | int pos__ = std::numeric_limits<int>::min();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp: In instantiation of ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’:
stanExports_simplexes.cc:30:0: required from here
30 | .method("standalone_gqs", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::standalone_gqs)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1252: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable]
1252 | int ret = stan::services::error_codes::CONFIG;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
181 | Eigen::Matrix<double, 2, 1> a_args(2);
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
181 | Eigen::Matrix<double, 2, 1> a_args(2);
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
182 | Eigen::Matrix<double, 1, 1> b_args(1);
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double>]’
117 | inner_diff = g_current.array().abs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
204 | grad_tuple_ab = grad_2F1_impl_ab<calc_a1_euler, calc_a2_euler, calc_b1>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
205 | a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
102 | result << A.template cast<T_return>(), B;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err.hpp:4,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:12:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]’
28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
29 | "not nan");
| ~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:0: required from here
47 | stan::math::check_not_nan(function, "Mean vector", mu);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]’
28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
29 | "not nan");
| ~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:0: required from here
74 | stan::math::check_not_nan(function, "Cholesky factor", L_chol);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
207 | for (size_t i = 0; i < x.rows(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
208 | for (size_t j = 0; j < x.cols(); j++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]’
29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
30 | y, "finite");
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:0: required from here
21 | stan::math::check_finite("check_finite", "inv_metric", inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]’
29 | elementwise_check([](double x) { return x > 0; }, function, name, y,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
30 | "positive");
| ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:0: required from here
22 | stan::math::check_positive("check_positive", "inv_metric", inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >]’
142 | return !((derived().array()==derived().array()).all());
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]’
156 | return !((derived()-derived()).hasNaN());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:0: required from here
31 | if (!covar.allFinite())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
142 | return !((derived().array()==derived().array()).all());
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]’
156 | return !((derived()-derived()).hasNaN());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:0: required from here
30 | if (!var.allFinite())
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta.hpp:70,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/core.hpp:4,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim.hpp:10:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of ‘void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long unsigned int; T_high = long int; stan::require_all_stan_scalar_t<U, V>* <anonymous> = 0; Idxs = {}]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:79:0: required from ‘std::vector<long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long unsigned int> >&) [with T = long int]’
79 | stan::math::check_less_or_equal("validate_dims", "array_var_context",
80 | elem_dims_total[dims.size()], array_size);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0: required from here
118 | std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const long int’ [-Wsign-compare]
39 | if (unlikely(!(y <= high))) {
| ~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro ‘unlikely’
9 | #define unlikely(x) __builtin_expect(!!(x), 0)
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:21: required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
79 | return (m.array() - c).matrix();
| ~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:29: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0]’
37 | return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
38 | std::forward<decltype(lb_ref)>(lb_ref))));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
253 | this->write(stan::math::lb_free(x, lb));
stanExports_simplexes.h:1071:0: required from ‘void model_simplexes_namespace::model_simplexes::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
1071 | out__.write_free_lb(0, gamma);
stanExports_simplexes.h:1249:0: required from here
1249 | transform_inits_impl(context, vars, pstream__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:32: required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]’
79 | return (m.array() - c).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:29: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0]’
37 | return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
38 | std::forward<decltype(lb_ref)>(lb_ref))));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
253 | this->write(stan::math::lb_free(x, lb));
stanExports_simplexes.h:1071:0: required from ‘void model_simplexes_namespace::model_simplexes::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
1071 | out__.write_free_lb(0, gamma);
stanExports_simplexes.h:1249:0: required from here
1249 | transform_inits_impl(context, vars, pstream__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0]’
37 | return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
| ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
38 | std::forward<decltype(lb_ref)>(lb_ref))));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
253 | this->write(stan::math::lb_free(x, lb));
stanExports_simplexes.h:1071:0: required from ‘void model_simplexes_namespace::model_simplexes::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
1071 | out__.write_free_lb(0, gamma);
stanExports_simplexes.h:1249:0: required from here
1249 | transform_inits_impl(context, vars, pstream__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
47 | f(x));
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0]’
37 | return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
| ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
38 | std::forward<decltype(lb_ref)>(lb_ref))));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
253 | this->write(stan::math::lb_free(x, lb));
stanExports_simplexes.h:1071:0: required from ‘void model_simplexes_namespace::model_simplexes::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
1071 | out__.write_free_lb(0, gamma);
stanExports_simplexes.h:1249:0: required from here
1249 | transform_inits_impl(context, vars, pstream__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)> >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&, const stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply<stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)> >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&, const stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> > > > > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]’
370 | decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(const auto:169&)>; T2 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]’
46 | return make_holder([](const auto& a) { return a.matrix().derived(); },
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
47 | f(x));
| ~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
65 | return apply_vector_unary<Container>::apply(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
66 | x, [](const auto& v) { return v.array().log(); });
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix<double, -1, 1>&; L = const int&; stan::require_not_std_vector_t<T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0]’
37 | return eval(log(subtract(std::forward<decltype(y_ref)>(y_ref),
| ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
38 | std::forward<decltype(lb_ref)>(lb_ref))));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer<T>::write_free_lb(const L&, const S&) [with S = Eigen::Matrix<double, -1, 1>; L = int; T = double]’
253 | this->write(stan::math::lb_free(x, lb));
stanExports_simplexes.h:1071:0: required from ‘void model_simplexes_namespace::model_simplexes::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
1071 | out__.write_free_lb(0, gamma);
stanExports_simplexes.h:1249:0: required from here
1249 | transform_inits_impl(context, vars, pstream__);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1253:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1253 | ret = stan::services::standalone_generate(model_, draws,
1254 | Rcpp::as<unsigned int>(seed), interrupt, logger, *sample_writer_ptr);
stanExports_simplexes.cc:30:0: required from here
30 | .method("standalone_gqs", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::standalone_gqs)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
55 | if (p_names.size() != draws.cols()) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
71 | for (size_t i = 0; i < draws.rows(); ++i) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:58: required from ‘stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]’
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)>; T = Eigen::Matrix<double, -1, 1>]’
93 | return f(x);
| ~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]’
83 | return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
84 | if (v.size() == 0) {
| ~~~~~~~~~~~~~~~~~~~~
85 | return NEGATIVE_INFTY;
| ~~~~~~~~~~~~~~~~~~~~~~
86 | }
| ~
87 | const auto& v_ref = to_ref(v);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
88 | const double max = v_ref.maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
89 | if (!std::isfinite(max)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
90 | return max;
| ~~~~~~~~~~~
91 | }
| ~
92 | return max + std::log((v_ref.array() - max).exp().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
93 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here
59 | double log_sum_y = log_sum_exp(log_y);
| ~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
72 | typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
92 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
92 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
159 | return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
102 | result << A.template cast<T_return>(), B;
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0: required from here
25 | vector_d diff = dtrs_vals.array() - dtrs_vals.mean();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
451 | subdiag = mat.template diagonal<-1>().real();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
191 | _pk.noalias() = -_gk;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:192:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
192 | auto exp_x = to_arena(arena_x.val().array().exp());
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:193:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
193 | arena_t<ret_type> ret = exp_x + lb_val;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:197:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
197 | arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:197:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
197 | arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)> [with auto:11 = const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
213 | arena_t<ret_type> ret = value_of(x_ref).array().exp() + lb_val;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
213 | arena_t<ret_type> ret = value_of(x_ref).array().exp() + lb_val;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t<T1, T2>&) [with T = Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
213 | arena_t<ret_type> ret = value_of(x_ref).array().exp() + lb_val;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer<T>::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value<double>; Sizes = {int}; T = stan::math::var_value<double>]’
386 | return stan::math::lb_constrain(this->read<Ret>(sizes...), lb, lp);
stanExports_simplexes.h:594:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
593 | gamma = in__.template read_constrain_lb<
594 | Eigen::Matrix<local_scalar_t__,-1,1>, jacobian__>(0, lp__,
595 | gamma_1dim__);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:131:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
131 | arena_t<promote_scalar_t<var, Mat>> res = inv_c * arena_m.val();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:133:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
133 | auto inv_times_adj = (inv_c * res.adj().array()).eval();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:134:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
134 | arena_c.adj() -= (inv_times_adj * res.val().array()).sum();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:143:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
143 | arena_m.adj().array() += inv_c * res.adj_op().array();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:143:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
143 | arena_m.adj().array() += inv_c * res.adj_op().array();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:143:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
143 | arena_m.adj().array() += inv_c * res.adj_op().array();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:149:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
149 | arena_t<promote_scalar_t<var, Mat>> res = inv_c * value_of(m).array();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:149:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
149 | arena_t<promote_scalar_t<var, Mat>> res = inv_c * value_of(m).array();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:151:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
151 | arena_c.adj() -= inv_c * (res.adj().array() * res.val().array()).sum();
stanExports_simplexes.h:659:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
659 | stan::math::divide(raw_params,
660 | stan::model::rvalue(sum_gammas, "sum_gammas",
661 | stan::model::index_uni(i))), "assigning variable lambdas",
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
34 | auto arena_A_val = to_arena(arena_A.val());
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:35:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
35 | auto arena_B_val = to_arena(arena_B.val());
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
80 | : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>}]’
23 | is_any_var_matrix<ReturnType, Types...>::value,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
36 | using return_t
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 1, -1>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
48 | arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&>(const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&>(const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&>(const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&>(const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&>(const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&>(const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >&)::<lambda(auto:11&)> [with auto:11 = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:53:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
53 | arena_t<promote_scalar_t<double, T1>> arena_A = value_of(A);
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
80 | : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, 0>; Types = {Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>}]’
23 | is_any_var_matrix<ReturnType, Types...>::value,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
55 | using return_t
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, 1, -1>, void>&)::<lambda(auto:11&)> [with auto:11 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, void>]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
66 | = return_var_matrix_t<decltype(value_of(arena_A).eval() * arena_B), T1,
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Matrix<double, 1, -1, 1, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
80 | : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Transpose<const Eigen::Block<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>}]’
23 | is_any_var_matrix<ReturnType, Types...>::value,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
65 | using return_t
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >’
80 | : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]’
23 | is_any_var_matrix<ReturnType, Types...>::value,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
36 | using return_t
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
48 | arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >’
80 | : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Types = {Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]’
23 | is_any_var_matrix<ReturnType, Types...>::value,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
55 | using return_t
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)> [with auto:11 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, void>]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
66 | = return_var_matrix_t<decltype(value_of(arena_A).eval() * arena_B), T1,
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >’
80 | : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]’
23 | is_any_var_matrix<ReturnType, Types...>::value,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
65 | using return_t
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)> [with auto:11 = const Eigen::VectorBlock<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1>]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:149:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
149 | arena_t<promote_scalar_t<var, Mat>> res = inv_c * value_of(m).array();
stanExports_simplexes.h:765:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:149:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
149 | arena_t<promote_scalar_t<var, Mat>> res = inv_c * value_of(m).array();
stanExports_simplexes.h:765:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/operator_division.hpp:149:0: required from ‘auto stan::math::divide(const Mat&, Scalar) [with Scalar = var_value<double>; Mat = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]’
149 | arena_t<promote_scalar_t<var, Mat>> res = inv_c * value_of(m).array();
stanExports_simplexes.h:765:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:75:41: required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const Scal&, const ColVec&) [with Scal = double; ColVec = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_t<stan::is_eigen_col_vector<Col> >* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
75 | result << A, B.template cast<T_return>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:889:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
889 | stan::math::append_row(1.0,
890 | stan::model::rvalue(gamma, "gamma",
891 | stan::model::index_min_max(
892 | (stan::model::rvalue(l_starts, "l_starts",
893 | stan::model::index_uni(i)) - (i - 1)),
894 | (stan::model::rvalue(l_ends, "l_ends",
895 | stan::model::index_uni(i)) - i)))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Mat2 = Eigen::Matrix<double, -1, -1>; stan::require_all_eigen_vt<std::is_arithmetic, Mat1, Mat2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]’
107 | return m1 * m2;
| ~~~^~~~
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, 2, 1> >(const char*, const char*, const Eigen::Matrix<double, 2, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 2, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 2, 1>]’
29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
30 | y, "finite");
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
35 | check_finite("hypergeometric_pFq", "a", a_ref);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
189 | return hypergeometric_pFq(a_args, b_args, z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 2, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, 1, 1, 0, 1, 1> >(const char*, const char*, const Eigen::Matrix<double, 1, 1, 0, 1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 1, 1, 0, 1, 1>]’
29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
30 | y, "finite");
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
36 | check_finite("hypergeometric_pFq", "b", b_ref);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
189 | return hypergeometric_pFq(a_args, b_args, z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, 2, 1> >(const char*, const char*, const Eigen::Matrix<double, 2, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 2, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 2, 1>]’
28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
29 | "not nan");
| ~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
39 | check_not_nan("hypergeometric_pFq", "a", a_ref);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
189 | return hypergeometric_pFq(a_args, b_args, z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 2, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, 1, 1, 0, 1, 1> >(const char*, const char*, const Eigen::Matrix<double, 1, 1, 0, 1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, 1, 1, 0, 1, 1>]’
28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
29 | "not nan");
| ~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from ‘stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]’
40 | check_not_nan("hypergeometric_pFq", "b", b_ref);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]’
189 | return hypergeometric_pFq(a_args, b_args, z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
306 | return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
307 | precision, max_steps);
| ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here
37 | = grad_2F1<true>(a + b, 1.0, a + 1, z);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
203 | PanelType panel(m_arg,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
251 | PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
217 | PanelEvaluator panel_eval(panel);
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
251 | PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
268 | res = func(res,eval.coeff(index));
| ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
114 | (std::min)(size,i2), alpha, -1, -1, 0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0: required from here
28 | double variance = diff.squaredNorm() / size_m1;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
352 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
| ~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
387 | ret = ret && (A21.array()==Scalar(0)).all();
| ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar<const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>&)::<lambda(auto:13&)> [with auto:13 = const Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>]’
57 | return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_simplexes.h:765:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:765:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]’
47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:765:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:0: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]’
247 | x1.noalias() = x0 + alpha1 * p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
209 | = WolfeLineSearch(_func, _alpha, _xk_1, _fk_1, _gk_1, _pk, _xk, _fk,
210 | _gk, _ls_opts.c1, _ls_opts.c2, _ls_opts.minAlpha,
211 | _ls_opts.maxLSIts, _ls_opts.maxLSRestarts);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:0: required from ‘void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
55 | pk.noalias() = -(_Hk * gk);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
254 | _qn.search_direction(_pk, _gk);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:11&)> [with auto:11 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]’
75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, -1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = stan::math::var_value<double>; typename stan::base_type<T>::type = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:713:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
713 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:1&)> [with auto:1 = Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]’
110 | return m.unaryExpr([](auto x) { return value_of_rec(x); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_not_std_vector_vt<stan::is_container_or_var_matrix, T_y>* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; Idxs = {}]’
157 | auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:721:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
721 | stan::math::check_greater_or_equal(function__, "lambdas", lambdas, 0);
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if<true, Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>, void>’
42 | template match<T_dec>::MatchAtCompileTime
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template<class T> using stan::ref_type_t = typename stan::ref_type_if<true, T>::type [with T = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>]’
54 | using ref_type_t = typename ref_type_if<true, T>::type;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:64:9: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
64 | using T_alpha_ref = ref_type_t<T_prior_size>;
| ^~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:85:18: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
85 | theta_dbl.col(t) = theta_vec.val(t);
| ~~~~~~~~~~~~~^~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/vector_seq_view.hpp:49:18: required from ‘auto stan::vector_seq_view<T, typename std::enable_if<stan::is_matrix<typename std::decay<_Tp>::type>::value, void>::type>::val(size_t) const [with C = const Eigen::VectorBlock<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1>&; stan::require_st_autodiff<T>* <anonymous> = 0; T = const Eigen::VectorBlock<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1>&; typename std::enable_if<stan::is_matrix<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::VectorBlock<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1>; size_t = long unsigned int]’
49 | return m_.val();
| ~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:85:37: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
85 | theta_dbl.col(t) = theta_vec.val(t);
| ~~~~~~~~~~~~~^~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:95:42: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
95 | lp += (lgamma(alpha_dbl.colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>]’
62 | return x.unaryExpr([](auto&& x) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
63 | return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:95:18: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
95 | lp += (lgamma(alpha_dbl.colwise().sum())
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Array<double, -1, -1>]’
62 | return x.unaryExpr([](auto&& x) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
63 | return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:96:20: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
96 | - lgamma(alpha_dbl).colwise().sum())
| ~~~~~~^~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:96:45: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
96 | - lgamma(alpha_dbl).colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >, const Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >, const Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >, const Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >, const Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, void>::apply(const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>&)::<lambda(auto:3&&)>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >, const Eigen::PartialReduxExpr<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:96:12: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
95 | lp += (lgamma(alpha_dbl.colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
96 | - lgamma(alpha_dbl).colwise().sum())
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:101:62: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
101 | = to_ref_if<!is_constant_all<T_prob>::value>(alpha_dbl - 1.0);
| ~~~~~~~~~~^~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:101:62: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
101 | = to_ref_if<!is_constant_all<T_prob>::value>(alpha_dbl - 1.0);
| ~~~~~~~~~~^~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:103:71: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
103 | = to_ref_if<!is_constant_all<T_prior_size>::value>(theta_dbl.log());
| ~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:106:22: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
106 | lp += (theta_log * alpha_m_1).sum();
| ~~~~~~~~~~~^~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:113:28: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
113 | += (alpha_m_1.col(t) / theta_dbl.col(t)).matrix();
| ~~~~~~~~~~~~~^~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:113:32: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
113 | += (alpha_m_1.col(t) / theta_dbl.col(t)).matrix();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:113:58: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
113 | += (alpha_m_1.col(t) / theta_dbl.col(t)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]’
62 | return x.unaryExpr([](auto&& x) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
63 | return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | });
| ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:120:56: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:120:47: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:121:30: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
121 | + theta_log.col(t))
| ~~~~~~~~~~~~~^~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:121:15: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
121 | + theta_log.col(t))
| ^~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:122:25: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
121 | + theta_log.col(t))
| ~~~~~~~~~~~~~~~~~~~
122 | .matrix();
| ~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
367 | matA.col(i).coeffRef(i+1) = 1;
| ~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
895 | q.applyOnTheRight(k,k+1,rot);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
548 | internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
323 | this->visit(minVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
496 | return minCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
563 | diag.segment(i,n-i).minCoeff(&k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
387 | ret = ret && (A21.array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:106:22: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
106 | lp += (theta_log * alpha_m_1).sum();
| ~~~~~~~~~~~^~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:113:32: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
113 | += (alpha_m_1.col(t) / theta_dbl.col(t)).matrix();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:113:58: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
113 | += (alpha_m_1.col(t) / theta_dbl.col(t)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
199 | * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Block<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec<const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&>(const Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>&)::<lambda(auto:1&)> [with auto:1 = const Eigen::VectorBlock<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, -1>]’
110 | return m.unaryExpr([](auto x) { return value_of_rec(x); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:78:18: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
78 | check_simplex(function, "probabilities", theta_vec[t]);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:1&)>::<lambda(auto:2)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:1&)> [with auto:1 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]’
110 | return m.unaryExpr([](auto x) { return value_of_rec(x); });
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/multinomial_lpmf.hpp:24:16: required from ‘stan::return_type_t<T> stan::math::multinomial_lpmf(const std::vector<int>&, const T_prob&) [with bool propto = false; T_prob = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_eigen_col_vector_t<ColVec>* <anonymous> = 0; stan::return_type_t<T> = var_value<double>]’
24 | check_simplex(function, "Probabilities parameter", theta_ref);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:758:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
758 | lp_accum__.add(stan::math::multinomial_lpmf<false>(
759 | stan::model::rvalue(Y, "Y",
760 | stan::model::index_min_max(
761 | stan::model::rvalue(strategy_starts,
762 | "strategy_starts", stan::model::index_uni(i)),
763 | stan::model::rvalue(strategy_ends,
764 | "strategy_ends", stan::model::index_uni(i)))),
765 | stan::math::divide(
766 | stan::model::rvalue(w, "w",
767 | stan::model::index_min_max(
768 | stan::model::rvalue(strategy_starts,
769 | "strategy_starts",
770 | stan::model::index_uni(i)),
771 | stan::model::rvalue(strategy_ends,
772 | "strategy_ends", stan::model::index_uni(i)))),
773 | stan::math::sum(
774 | stan::model::rvalue(w, "w",
775 | stan::model::index_min_max(
776 | stan::model::rvalue(strategy_starts,
777 | "strategy_starts",
778 | stan::model::index_uni(i)),
779 | stan::model::rvalue(strategy_ends,
780 | "strategy_ends",
781 | stan::model::index_uni(i))))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:0: required from ‘stan::math::var stan::math::accumulator<T, typename std::enable_if<stan::is_var<typename std::decay<_Tp>::type>::value, void>::type>::sum() const [with T = stan::math::var_value<double>; typename std::enable_if<stan::is_var<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value<double>; stan::math::var = stan::math::var_value<double>]’
135 | inline var sum() const { return stan::math::sum(buf_); }
stanExports_simplexes.h:788:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
788 | return lp_accum__.sum();
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:497:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
497 | return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/prod.hpp:53:16: required from ‘stan::value_type_t<T> stan::math::prod(const EigMat&) [with EigMat = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::value_type_t<T> = double]’
53 | return v.prod();
| ~~~~~~^~
stanExports_simplexes.h:989:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
989 | stan::math::prod(
990 | stan::math::add(
991 | stan::math::elt_multiply(
992 | stan::model::rvalue(P, "P", stan::model::index_omni(),
993 | stan::model::index_uni(i)), lambdas),
994 | stan::math::subtract(1,
995 | stan::model::rvalue(P, "P", stan::model::index_omni(),
996 | stan::model::index_uni(i))))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
33 | return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
34 | M_ref);
| ~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
453 | RealScalar scale = mat.cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1> >(const char*, const char*, const Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>&)::<lambda(double)>; T = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>]’
29 | elementwise_check([](double x) { return x > 0; }, function, name, y,
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
30 | "positive");
| ~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:77:19: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
77 | check_positive(function, "prior sample sizes", alpha_vec[t]);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >::Index’ {aka ‘long int’} [-Wsign-compare]
153 | for (size_t i = 0; i < x.size(); i++) {
| ~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:120:43: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:0: required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Matrix2 = stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0; stan::require_st_arithmetic<Op>* <anonymous> = 0; stan::math::var = stan::math::var_value<double>]’
67 | x.adj().array() += z.adj() * y.array();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:125:28: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
125 | return ops_partials.build(lp);
| ~~~~~~~~~~~~~~~~~~^~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]’
268 | res = func(res,eval.coeff(index));
| ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here
106 | return x.cwiseAbs().rowwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]’
47 | return m.sum();
| ~~~~~^~
stanExports_simplexes.h:864:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
864 | stan::math::sum(
865 | stan::model::rvalue(gamma, "gamma",
866 | stan::model::index_min_max(
867 | (stan::model::rvalue(l_starts, "l_starts",
868 | stan::model::index_uni(i)) - (i - 1)),
869 | (stan::model::rvalue(l_ends, "l_ends",
870 | stan::model::index_uni(i)) - i))))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0: required from ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
72 | Eigen::Map<Eigen::VectorXd>(&row[0], draws.cols()) = draws.row(i);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1253:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1253 | ret = stan::services::standalone_generate(model_, draws,
1254 | Rcpp::as<unsigned int>(seed), interrupt, logger, *sample_writer_ptr);
stanExports_simplexes.cc:30:0: required from here
30 | .method("standalone_gqs", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::standalone_gqs)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here
28 | m2_ += (q - m_) * delta.transpose();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here
28 | m2_ += (q - m_) * delta.transpose();
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
306 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:106:38: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
106 | lp += (theta_log * alpha_m_1).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:120:43: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
159 | return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from ‘Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]’
102 | result << A.template cast<T_return>(), B;
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]’
123 | return internal::hypergeometric_3F2_infsum(a, b, z);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]’
148 | return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here
77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:106:38: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = double]’
106 | lp += (theta_log * alpha_m_1).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
199 | * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1,
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
1452 | struct unary_evaluator<MatrixWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:113:11: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
112 | partials_vec<0>(ops_partials)[t]
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | += (alpha_m_1.col(t) / theta_dbl.col(t)).matrix();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
| ~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, void>::apply(const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>&)::<lambda(auto:3&&)>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, -1> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
1452 | struct unary_evaluator<MatrixWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:120:11: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
119 | partials_vec<1>(ops_partials)[t]
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
120 | += (digamma(alpha_dbl.col(t).sum()) - digamma(alpha_dbl.col(t))
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
121 | + theta_log.col(t))
| ~~~~~~~~~~~~~~~~~~~
122 | .matrix();
| ~~~~~~~~~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, -1, 1, true>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
1452 | struct unary_evaluator<MatrixWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
56 | lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
57 | &message);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
502 | = stan::services::optimize::newton(model, *init_context_ptr,
503 | random_seed, id, init_radius,
504 | num_iterations,
505 | save_iterations,
506 | interrupt, logger,
507 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = assign_op<stan::math::var_value<double>, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op<stan::math::var_value<double>, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<stan::math::var_value<double>, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<stan::math::var_value<double>, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:33:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
33 | arena_t<promote_scalar_t<var, T2>> arena_B = B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:97:19: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
95 | lp += (lgamma(alpha_dbl.colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
96 | - lgamma(alpha_dbl).colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
97 | .sum();
| ~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:337:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
81 | gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = generic_product_impl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:166:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
500 | return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
169 | this->col(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here
22 | vector_d eigenprojections = eigenvectors.transpose() * g;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:26:0: required from here
26 | g = eigenvectors * eigenprojections;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:26:0: required from here
26 | g = eigenvectors * eigenprojections;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, -1>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
346 | pack_rhs_panel(blockB+j2*actual_kc,
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
347 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
348 | panelLength, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | actual_kc, panelOffset);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]’
783 | triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_matrix_t<T>* <anonymous> = 0]’
45 | Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here
21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric",
22 | inv_metric);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, true>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
233 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, -1>, void>::apply(const Eigen::Array<double, -1, -1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:97:19: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
95 | lp += (lgamma(alpha_dbl.colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
96 | - lgamma(alpha_dbl).colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
97 | .sum();
| ~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
320 | actualPanelWidth, actual_mc,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
321 | actual_kc, j2);
| ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
48 | arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix<double, -1, 1>&; T2 = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0]’
92 | x = std::forward<T2>(y);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_t<internal::is_tuple<Tuple1>, internal::is_tuple<Tuple2> >* <anonymous> = 0]’
60 | internal::assign_impl(x, std::forward<U>(y), name);
stanExports_simplexes.h:956:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
956 | stan::model::assign(w,
957 | stan::math::multiply(stan::math::transpose(map), w_0_local),
958 | "assigning variable w");
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
29 | return M_ref * M_ref.transpose();
| ~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
856 | call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
145 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
31 | arena_L.adj() += ((res.adj().transpose() + res.adj())
32 | * arena_L_val.template triangularView<Eigen::Lower>())
33 | .template triangularView<Eigen::Lower>();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
47 | arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:97:19: required from ‘stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::VectorBlock<Eigen::Matrix<var_value<double>, -1, 1>, -1>; T_prior_size = Eigen::VectorBlock<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_n, T_prob>* <anonymous> = 0; stan::return_type_t<T1, T2> = var_value<double>]’
95 | lp += (lgamma(alpha_dbl.colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
96 | - lgamma(alpha_dbl).colwise().sum())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
97 | .sum();
| ~~~~^~
stanExports_simplexes.h:735:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
735 | lp_accum__.add(stan::math::dirichlet_lpdf<false>(
736 | stan::model::rvalue(lambdas, "lambdas",
737 | stan::model::index_min_max(
738 | stan::model::rvalue(l_starts, "l_starts",
739 | stan::model::index_uni(i)),
740 | stan::model::rvalue(l_ends, "l_ends",
741 | stan::model::index_uni(i)))),
742 | stan::model::rvalue(lambdas_prior,
743 | "lambdas_prior",
744 | stan::model::index_min_max(
745 | stan::model::rvalue(l_starts, "l_starts",
746 | stan::model::index_uni(i)),
747 | stan::model::rvalue(l_ends, "l_ends",
748 | stan::model::index_uni(i))))));
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
stanExports_simplexes.h:145:0: required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type, 1, -1> model_simplexes_namespace::col_sums(const T0__&, std::ostream*) [with T0__ = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; stan::require_all_t<stan::is_eigen_matrix_dynamic<T>, stan::is_vt_not_complex<T0__> >* <anonymous> = 0; typename boost::math::tools::promote_args<typename stan::base_type<T>::type>::type = double; typename stan::base_type<T>::type = double; std::ostream = std::basic_ostream<char>]’
145 | return stan::math::multiply(
146 | stan::math::rep_row_vector(1, stan::math::rows(X)), X);
stanExports_simplexes.h:953:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
953 | col_sums(stan::math::log(parlam2), pstream__))),
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix<double, -1, 1>&; T2 = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0]’
92 | x = std::forward<T2>(y);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_t<internal::is_tuple<Tuple1>, internal::is_tuple<Tuple2> >* <anonymous> = 0]’
60 | internal::assign_impl(x, std::forward<U>(y), name);
stanExports_simplexes.h:956:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
956 | stan::model::assign(w,
957 | stan::math::multiply(stan::math::transpose(map), w_0_local),
958 | "assigning variable w");
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix<double, -1, 1>&; T2 = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0]’
92 | x = std::forward<T2>(y);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_t<internal::is_tuple<Tuple1>, internal::is_tuple<Tuple2> >* <anonymous> = 0]’
60 | internal::assign_impl(x, std::forward<U>(y), name);
stanExports_simplexes.h:956:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
956 | stan::model::assign(w,
957 | stan::math::multiply(stan::math::transpose(map), w_0_local),
958 | "assigning variable w");
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
48 | arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
123 | Base::operator=(a);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]’
68 | *this = other;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]’
722 | : val_(x),
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]’
366 | var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {} // NOLINT
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]’
27 | arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here
59 | return multiply_lower_tri_self_transpose(L);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
57 | arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
68 | arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_simplexes.h:717:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
717 | stan::math::multiply(stan::math::transpose(map), w_0_local),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix<double, -1, 1>&; T2 = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0]’
92 | x = std::forward<T2>(y);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_t<internal::is_tuple<Tuple1>, internal::is_tuple<Tuple2> >* <anonymous> = 0]’
60 | internal::assign_impl(x, std::forward<U>(y), name);
stanExports_simplexes.h:956:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
956 | stan::model::assign(w,
957 | stan::math::multiply(stan::math::transpose(map), w_0_local),
958 | "assigning variable w");
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
18 | return std::forward<T>(a);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]’
27 | const auto& M_ref = to_ref(M);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]’
21 | return tcrossprod(M.transpose());
| ~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here
34 | return crossprod(B * llt_of_S.matrixU());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_simplexes_namespace::model_simplexes, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_simplexes_namespace::model_simplexes; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; size_t = long unsigned int]’
57 | sampler.init_stepsize(logger);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
97 | util::run_adaptive_sampler(
98 | sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
99 | save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes]’
150 | return hmc_nuts_dense_e_adapt(
151 | model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
152 | num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
153 | max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
154 | interrupt, logger, init_writer, sample_writer, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:638:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
637 | return_code = stan::services::sample
638 | ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
639 | random_seed, id, init_radius,
640 | num_warmup, num_samples,
641 | num_thin, save_warmup, refresh,
642 | stepsize, stepsize_jitter, max_depth,
643 | delta, gamma, kappa,
644 | t0, init_buffer, term_buffer, window,
645 | interrupt, logger, init_writer,
646 | *sample_writer_ptr, diagnostic_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<var_value<double>, -1, 1>, -1, 1, false> >; T2 = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]’
38 | arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_simplexes.h:700:0: required from ‘stan::scalar_type_t<T2> model_simplexes_namespace::model_simplexes::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
700 | stan::math::multiply(
701 | stan::math::transpose(
702 | stan::model::rvalue(lambdas, "lambdas",
703 | stan::model::index_min_max(a, b))),
704 | stan::model::rvalue(parmap, "parmap",
705 | stan::model::index_min_max(a, b), stan::model::index_omni())),
stanExports_simplexes.h:1232:0: required from ‘T_ model_simplexes_namespace::model_simplexes::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]’
1232 | return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_simplexes_namespace::model_simplexes; std::ostream = std::basic_ostream<char>]’
40 | var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
41 | ad_params_r, params_i, msgs);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1183 | lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_simplexes.cc:23:0: required from here
23 | .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:249:0: required from ‘void stan::model::assign(Mat&&, const RowVec&, const char*, index_uni) [with Mat = Eigen::Matrix<double, -1, -1>&; RowVec = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0; stan::require_row_vector_t<RowVec>* <anonymous> = 0]’
249 | internal::assign_impl(x.row(idx.n_ - 1), y, name);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:658:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, const Idx&, index_omni) [with Mat1 = Eigen::Matrix<double, -1, -1>&; Mat2 = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Idx = index_uni; stan::require_dense_dynamic_t<T_y>* <anonymous> = 0]’
658 | assign(x, std::forward<Mat2>(y), name, row_idx);
stanExports_simplexes.h:939:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
939 | stan::model::assign(parlam2,
940 | stan::math::multiply(
941 | stan::math::transpose(
942 | stan::model::rvalue(lambdas, "lambdas",
943 | stan::model::index_min_max(a, b))),
944 | stan::model::rvalue(parmap, "parmap",
945 | stan::model::index_min_max(a, b), stan::model::index_omni())),
946 | "assigning variable parlam2", stan::model::index_uni(j),
947 | stan::model::index_omni());
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix<double, -1, 1>&; T2 = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0]’
92 | x = std::forward<T2>(y);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix<double, -1, 1>&; U = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_t<std::is_assignable<typename std::decay<_Tp>::type&, typename std::decay<_Tp2>::type> >* <anonymous> = 0; stan::require_all_not_t<internal::is_tuple<Tuple1>, internal::is_tuple<Tuple2> >* <anonymous> = 0]’
60 | internal::assign_impl(x, std::forward<U>(y), name);
stanExports_simplexes.h:956:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’
956 | stan::model::assign(w,
957 | stan::math::multiply(stan::math::transpose(map), w_0_local),
958 | "assigning variable w");
stanExports_simplexes.h:1221:0: required from ‘void model_simplexes_namespace::model_simplexes::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
1221 | write_array_impl(base_rng, params_r, params_i, vars,
1222 | emit_transformed_parameters, emit_generated_quantities, pstream);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1105 | model_.write_array(base_rng, params_r, params_i, par);
stanExports_simplexes.cc:26:0: required from here
26 | .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]’
40 | _Hk = Hupd * _Hk * Hupd.transpose();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_simplexes_namespace::model_simplexes, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
246 | Scalar B0fact = _qn.update(yk, sk, true);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_simplexes_namespace::model_simplexes; bool jacobian = false]’
117 | ret = bfgs.step();
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
517 | = stan::services::optimize::bfgs(model, *init_context_ptr,
518 | random_seed, id, init_radius,
519 | init_alpha,
520 | tol_obj,
521 | tol_rel_obj,
522 | tol_grad,
523 | tol_rel_grad,
524 | tol_param,
525 | num_iterations,
526 | save_iterations,
527 | refresh,
528 | interrupt, logger,
529 | init_writer, sample_writer);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_simplexes_namespace::model_simplexes; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
1215 | ret = command(args, model_, holder, names_oi_tidx_,
1216 | fnames_oi_, base_rng);
stanExports_simplexes.cc:15:0: required from here
15 | .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
238 | return Base::operator=(other);
| ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
454 | .setLength(mat.rows() - 1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | .setShift(1);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here
19 | Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’
58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: recursively required from ‘void stan::math::internal::callback_vari<T, F>::chain() [with T = double; F = stan::math::sum<arena_allocator<var_value<double> > >(const std::vector<var_value<double>, arena_allocator<var_value<double> > >&)::<lambda(auto:446&)>]’
21 | inline void chain() final { rev_functor_(*this); }
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: required from here
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here
20 | double T(diag_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here
20 | double T(diag_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_simplexes_namespace::model_simplexes; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
21 | double T(dense_e_point& z) {
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -Wl,-O1 -o CausalQueries.so RcppExports.o get_type_prob_helpers_arma.o realise_outcome_c.o stanExports_simplexes.o -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppParallel/lib/ -Wl,-rpath,/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppParallel/lib/ -ltbb -ltbbmalloc -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9XiHYz/R.INSTALL2dd7936bc6e530/CausalQueries/src'
make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9XiHYz/R.INSTALL2dd7936bc6e530/CausalQueries/src'
make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9XiHYz/R.INSTALL2dd7936bc6e530/CausalQueries/src'
installing to /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/00LOCK-CausalQueries/00new/CausalQueries/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘CausalQueries’
finding HTML links ... done
CausalQueries-package html
CausalQueries_internal_inherit_params html
add_dots html
clean_statement html
construct_commands_alter_at html
construct_commands_other_args html
construct_commands_param_names html
data_helpers html
democracy_data html
draw_causal_type html
expand_nodal_expression html
get_all_data_types html
get_estimands html
get_event_probabilities html
get_parameter_matrix html
get_query_types html
get_type_posteriors html
inspection html
institutions_data html
interpret_type html
lipids_data html
list_non_parents html
make_dag html
make_data_single html
make_model html
make_par_values html
make_par_values_stops html
make_parameters_df html
make_prior_distribution html
observe_data html
parameter_setting html
parents_to_int html
perm html
plot_model html
prep_stan_data html
print.causal_model html
print.model_query html
prior_setting html
query_distribution html
query_helpers html
query_model html
query_to_expression html
realise_outcomes html
reveal_outcomes html
set_confound html
set_parameter_matrix html
set_prior_distribution html
set_restrictions html
summary.causal_model html
summary.model_query html
update_model html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (CausalQueries)