* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’
* installing *source* package ‘glmmrBase’ ...
** this is package ‘glmmrBase’ version ‘1.2.1’
** package ‘glmmrBase’ successfully unpacked and MD5 sums checked
** using staged installation
Warning message:
In .warning_nowrite(file.path(basename(pkgdir), ...)) :
'glmmrBase/src/Makevars' already exists. Not overwritten by rstantools.FALSE
** libs
specified C++17
using C++ compiler: ‘g++-15 (Debian 15.2.0-13) 15.2.0’
using C++17
make[1]: Entering directory '/tmp/RtmpiOKuwx/R.INSTALL2d6a0542d355e1/glmmrBase/src'
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -I'/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >’
77 | T obj ;
| ^~~
RcppExports.cpp:1738:76: required from here
1738 | Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type xb(xbSEXP);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >’
77 | T obj ;
| ^~~
RcppExports.cpp:1738:76: required from here
1738 | Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type xb(xbSEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, -1> >’
77 | T obj ;
| ^~~
RcppExports.cpp:1739:74: required from here
1739 | Rcpp::traits::input_parameter< const Eigen::MatrixXd& >::type Z(ZSEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c model_module.cpp -o model_module.o
In file included from ../inst/include/glmmr/model.hpp:4,
from ../inst/include/glmmr.h:4,
from model_module.cpp:1:
../inst/include/glmmr/general.h:21:9: warning: ‘EIGEN_DEFAULT_DENSE_INDEX_TYPE’ redefined
21 | #define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:19,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from ../inst/include/glmmr/general.h:10:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Macros.h:33:9: note: this is the location of the previous definition
33 | #define EIGEN_DEFAULT_DENSE_INDEX_TYPE std::ptrdiff_t
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
from ../inst/include/glmmr/covariance.hpp:6,
from ../inst/include/glmmr/modelbits.hpp:3,
from ../inst/include/glmmr/model.hpp:5:
../inst/include/glmmr/calculator.hpp:1192: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1192 | #pragma omp parallel for
../inst/include/glmmr/calculator.hpp:1222: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1222 | #pragma omp parallel for
../inst/include/glmmr/covariance.hpp:973: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
973 | #pragma omp parallel for
../inst/include/glmmr/covariance.hpp:1103: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1103 | #pragma omp parallel
../inst/include/glmmr/covariance.hpp:1107: warning: ignoring ‘#pragma omp for’ [-Wunknown-pragmas]
1107 | #pragma omp for
../inst/include/glmmr/covariance.hpp:1117: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1117 | #pragma omp parallel for reduction(+:grad_j)
../inst/include/glmmr/covariance.hpp:1129: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1129 | #pragma omp parallel for reduction(+:m_jk)
../inst/include/glmmr/covariance.hpp:1170: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1170 | #pragma omp parallel for
In file included from ../inst/include/glmmr/modelbits.hpp:5:
../inst/include/glmmr/nngpcovariance.hpp:269: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
269 | #pragma omp parallel for
../inst/include/glmmr/nngpcovariance.hpp:393: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
393 | #pragma omp parallel for private(idxlim)
In file included from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/ar1covariance.hpp:13: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
13 | #pragma omp parallel for
../inst/include/glmmr/ar1covariance.hpp:299: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
299 | #pragma omp parallel for
../inst/include/glmmr/ar1covariance.hpp:317: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
317 | #pragma omp parallel for reduction(+:grad_j)
../inst/include/glmmr/ar1covariance.hpp:328: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
328 | #pragma omp parallel for reduction(+:grad_rho)
../inst/include/glmmr/ar1covariance.hpp:350: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
350 | #pragma omp parallel for reduction(+:m_jk)
../inst/include/glmmr/ar1covariance.hpp:365: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
365 | #pragma omp parallel for reduction(+:m_jr)
../inst/include/glmmr/ar1covariance.hpp:378: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
378 | #pragma omp parallel for reduction(+:m_rr)
In file included from ../inst/include/glmmr/model.hpp:6:
../inst/include/glmmr/randomeffects.hpp:76: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
76 | #pragma omp parallel for
In file included from ../inst/include/glmmr/model.hpp:7:
../inst/include/glmmr/modelmatrix.hpp:1367: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1367 | #pragma omp parallel for
In file included from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/modeloptim.hpp:587: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
587 | #pragma omp parallel for
../inst/include/glmmr/modeloptim.hpp:604: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
604 | #pragma omp parallel for if(re.zu_.cols() > 50)
../inst/include/glmmr/modeloptim.hpp:626: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
626 | #pragma omp parallel for reduction (+:logl) if(Lu.cols() > 50)
../inst/include/glmmr/modeloptim.hpp:860: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
860 | #pragma omp parallel
../inst/include/glmmr/modeloptim.hpp:863: warning: ignoring ‘#pragma omp for’ [-Wunknown-pragmas]
863 | #pragma omp for nowait
../inst/include/glmmr/modeloptim.hpp:867: warning: ignoring ‘#pragma omp critical’ [-Wunknown-pragmas]
867 | #pragma omp critical
../inst/include/glmmr/modeloptim.hpp:1373: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
1373 | #pragma omp parallel for reduction (+:logl) if(Lu.cols() > 50)
../inst/include/glmmr/model.hpp:206:1: warning: multi-line comment [-Wcomment]
206 | // #pragma omp declare reduction(vec_dbl_plus : std::vector<double> : \
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/glmmr/algo.h:18:48: required from here
18 | const int& n)
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/glmmr/algo.h:18:48: required from here
18 | const int& n)
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/glmmr/algo.h:24:16: required from here
24 | lsum += U(i,j) * y(j);
| ~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~
../inst/include/glmmr/algo.h:98:17: required from here
98 | matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~
../inst/include/glmmr/algo.h:112:23: required from here
112 | matrix.rightCols(numCols-colToRemove);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~
../inst/include/glmmr/algo.h:123:19: required from here
123 | matrix.segment(elemToRemove,nSize-elemToRemove) =
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
92 | >::type DiagonalReturnType;
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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;
| ^~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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;
| ^~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:137:62: required from here
137 | mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:137:62: required from here
137 | mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/algo.h:137:77: required from here
137 | mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~
../inst/include/glmmr/algo.h:137:112: required from here
137 | mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 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-devel-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::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/algo.h:137:113: required from here
137 | mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:19: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:25: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:52: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:52: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, -1>’
45 | class Array
| ^~~~~
../inst/include/glmmr/maths.h:110:53: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:53: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:62: required from here
110 | mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:113:33: required from here
113 | mu = mu.array().exp().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<double (*)(double), const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:116:17: required from here
116 | mu.unaryExpr(&gaussian_cdf);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:122:28: required from here
122 | mu = mu.array().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:122:37: required from here
122 | mu = mu.array().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:186:21: required from here
186 | wdiag = xb.array().exp().matrix();
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:186:27: required from here
186 | wdiag = xb.array().exp().matrix();
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:186:36: required from here
186 | wdiag = xb.array().exp().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::CwiseUnaryOp<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-devel-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::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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:189:37: required from here
189 | wdiag = xb.array().exp().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, 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-devel-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_inverse_op<double>, 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-devel-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_inverse_op<double>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, 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> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:189:46: required from here
189 | wdiag = xb.array().exp().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:204:29: required from here
204 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:204:52: required from here
204 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:204:61: required from here
204 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:208:40: required from here
208 | wdiag = (p.array() * (1 - p.array())).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:208:49: required from here
208 | wdiag = (p.array() * (1 - p.array())).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:215:69: required from here
215 | wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:215:78: required from here
215 | wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:220:52: required from here
220 | wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:220:61: required from here
220 | wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:242:30: required from here
242 | wdiag = xb.array().square().inverse().matrix();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::CwiseUnaryOp<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-devel-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::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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:242:40: required from here
242 | wdiag = xb.array().square().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const 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-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:242:49: required from here
242 | wdiag = xb.array().square().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:245:39: required from here
245 | wdiag = xb.array().square().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:280:21: required from here
280 | wdiag = xb.array().exp().matrix();
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:280:27: required from here
280 | wdiag = xb.array().exp().matrix();
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:280:36: required from here
280 | wdiag = xb.array().exp().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::CwiseUnaryOp<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-devel-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::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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:283:37: required from here
283 | wdiag = xb.array().exp().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, 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-devel-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_inverse_op<double>, 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-devel-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_inverse_op<double>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, 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> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:283:46: required from here
283 | wdiag = xb.array().exp().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:28: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:29: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:29: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:51: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
../inst/include/glmmr/maths.h:298:52: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:52: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:61: required from here
298 | wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:302:40: required from here
302 | wdiag = (p.array() * (1 - p.array())).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:302:49: required from here
302 | wdiag = (p.array() * (1 - p.array())).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<double (*)(double), const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:308:19: required from here
308 | pinv.unaryExpr(&gaussian_pdf);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:309:69: required from here
309 | wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:309:78: required from here
309 | wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:314:52: required from here
314 | wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:314:61: required from here
314 | wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:336:30: required from here
336 | wdiag = xb.array().square().inverse().matrix();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::CwiseUnaryOp<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-devel-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::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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:336:40: required from here
336 | wdiag = xb.array().square().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const 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-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:336:49: required from here
336 | wdiag = xb.array().square().inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:339:39: required from here
339 | wdiag = xb.array().square().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:383:26: required from here
383 | wdiag = (pinv.inverse()).matrix();
| ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:383:36: required from here
383 | wdiag = (pinv.inverse()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
68 | class InverseImpl
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse<Eigen::Matrix<double, -1, -1> >’
43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
| ^~~~~~~
../inst/include/glmmr/maths.h:401:23: required from here
401 | wdiag = xb.inverse().matrix();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:43: required from here
407 | wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:44: required from here
407 | wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:54: required from here
407 | wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:63: required from here
407 | wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~
../inst/include/glmmr/maths.h:436:25: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<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,
| ^~~~~~~
../inst/include/glmmr/maths.h:436:29: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~
../inst/include/glmmr/maths.h:436:49: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/maths.h:436:50: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/maths.h:436:50: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/maths.h:443:34: required from here
443 | Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 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-devel-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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/maths.h:443:43: required from here
443 | Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:443:72: required from here
443 | Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:443:90: required from here
443 | Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:447:33: required from here
447 | zprod = zprod.inverse().sqrt();
| ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:455:15: required from here
455 | Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:455:15: required from here
455 | Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/maths.h:455:36: required from here
455 | Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 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-devel-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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/maths.h:455:45: required from here
455 | Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 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-devel-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::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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 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-devel-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::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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 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-devel-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::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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:455:92: required from here
455 | Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:463:22: required from here
463 | return xbnew.matrix();
| ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:476:36: required from here
476 | wdiag = mu.array()*(1-mu.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:476:37: required from here
476 | wdiag = mu.array()*(1-mu.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 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::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-devel-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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 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::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-devel-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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 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::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-devel-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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 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::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-devel-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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 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::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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:485:49: required from here
485 | wdiag = mu.array()*(1-mu.array())/(var_par+1);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:21: required from here
692 | logl = (y*mu.log() - mu-lf1).sum();
| ~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:22: required from here
692 | logl = (y*mu.log() - mu-lf1).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:26: required from here
692 | logl = (y*mu.log() - mu-lf1).sum();
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:29: required from here
692 | logl = (y*mu.log() - mu-lf1).sum();
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:17: required from here
698 | logl = (y * mu - mu.exp() - lf1).sum();
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:28: required from here
698 | logl = (y * mu - mu.exp() - lf1).sum();
| ~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:29: required from here
698 | logl = (y * mu - mu.exp() - lf1).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:33: required from here
698 | logl = (y * mu - mu.exp() - lf1).sum();
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:23: required from here
708 | logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:40: required from here
708 | logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:46: required from here
708 | logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
| ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:47: required from here
708 | logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:47: required from here
708 | logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:44: required from here
711 | logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:45: required from here
711 | logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:45: required from here
711 | logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:720:41: required from here
720 | Eigen::ArrayXd p = (mu.exp().inverse() + 1.0).inverse();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:720:46: required from here
720 | Eigen::ArrayXd p = (mu.exp().inverse() + 1.0).inverse();
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<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
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:720:58: required from here
720 | Eigen::ArrayXd p = (mu.exp().inverse() + 1.0).inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:733:72: required from here
733 | Eigen::ArrayXd lfnk = glmmr::maths::log_factorial_approx(var_par - y);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:25: required from here
734 | logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:34: required from here
734 | logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:72: required from here
734 | logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:72: required from here
734 | logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:40: required from here
742 | logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:69: required from here
742 | logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:69: required from here
742 | logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_log_op<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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:34: required from here
773 | logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<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-devel-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<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-devel-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<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-devel-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<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-devel-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<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:55: required from here
773 | logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_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>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:65: required from here
773 | logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
| ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:84: required from here
773 | logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:84: required from here
773 | logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:59: required from here
777 | logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:80: required from here
777 | logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:80: required from here
777 | logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:787:36: required from here
787 | Eigen::ArrayXd ymu = var_par*y*mu;
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:797:55: required from here
797 | Eigen::ArrayXd ymu = var_par*y*mu.exp().inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:817:29: required from here
817 | logl = (mu - y * mu.exp()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:817:29: required from here
817 | logl = (mu - y * mu.exp()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~
../inst/include/glmmr/maths.h:845:14: required from here
845 | samps.col(i) = z;
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:52:53: required from here
52 | ArrayXd variance = ArrayXd::Constant(1,1.0); // variance values
| ~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:58:46: required from here
58 | MatrixXd data = MatrixXd::Zero(1,1); // the data for the calculation
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::update_parameters(const dblvec&)’:
../inst/include/glmmr/calculator.hpp:1186:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1186 | for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 1>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:1297:35: required from here
1297 | VectorXd Hmean = H.rowwise().sum();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp: In member function ‘void glmmr::calculator::print_instructions() const’:
../inst/include/glmmr/calculator.hpp:1457:30: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘const int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1457 | if(indexes[idx_iter] >= parameter_names.size()){
../inst/include/glmmr/calculator.hpp:1472:30: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘const int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1472 | if(indexes[idx_iter] >= data_names.size()){
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~
../inst/include/glmmr/calculator.hpp:1518:51: required from here
1518 | Rcpp::Rcout << "\nExample data: " << x.transpose() << "\n";
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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 ../inst/include/glmmr/formula.hpp:6,
from ../inst/include/glmmr/covariance.hpp:7:
../inst/include/glmmr/formulaparse.h: In function ‘bool glmmr::is_number(const std::string&)’:
../inst/include/glmmr/formulaparse.h:12:11: warning: unused variable ‘a’ [-Wunused-variable]
12 | float a = std::stod(s);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/glmmr/formulaparse.h:51:46: required from here
51 | Xdata.col(calc.data_count) = data.col(column_index);
| ~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h: In function ‘void glmmr::two_way_fn(std::vector<char>&, calculator&, const Eigen::ArrayXXd&, const strvec&, Eigen::MatrixXd&, int, bool)’:
../inst/include/glmmr/formulaparse.h:235:19: warning: variable ‘variable_in_data’ set but not used [-Wunused-but-set-variable]
235 | bool add_check, variable_in_data;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~
../inst/include/glmmr/linearpredictor.hpp:178:24: required from here
178 | Map<VectorXd> beta(parameters.data(),parameters.size());
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:179:15: required from here
179 | xb = X_ * beta;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:212:52: required from here
212 | VectorXd xb = newlinpred.xb() + newoffset_.matrix();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:212:53: required from here
212 | VectorXd xb = newlinpred.xb() + newoffset_.matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/glmmr/matrixfield.h:47:49: required from here
47 | Eigen::RowVectorXd get_row(int n, int i) const{
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/covariance.hpp:53:22: required from here
53 | return matL.solve(x);
| ~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/covariance.hpp:57:22: required from here
57 | return matL.solve(x);
| ~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:69:29: required from here
69 | return Z * matL.matrixL();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:73:29: required from here
73 | return matL.matrixL() * Z;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
| ^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:78:43: required from here
78 | SparseMatrix<double> LS = L.sparseView();
| ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2, Eigen::Sparse>’
145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:79:16: required from here
79 | return Z * LS;
| ^~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/covariance.hpp:88:43: required from here
88 | return L.triangularView<Lower>().solve(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:93:23: required from here
93 | return L.transpose().triangularView<Upper>().solve(x);
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/covariance.hpp:93:55: required from here
93 | return L.transpose().triangularView<Upper>().solve(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual int glmmr::Covariance::parse()’:
../inst/include/glmmr/covariance.hpp:362:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
362 | for(k = 0; k < fnvars[idx].size(); k++){
| ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:376:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
376 | for(j = 0; j< fnvars.size();j++){
| ~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:377:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
377 | for(k = 0; k < fnvars[j].size();k++){
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:395:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
395 | for(int m = 0; m < fnvars.size(); m++){
| ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:397:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
397 | for(int p = 0; p < fnvars[m].size(); p++){
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:404:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<double> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
404 | for(j = 0; j < groups.size(); j++){
| ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:417:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
417 | for(int m = 0; m < vals.size(); m++) vals[m] = data_(k,fnvars[idx][m]);
| ~~^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:443:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
443 | for(int j = 0; j < fn_.size(); j++){
| ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:449:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
449 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
| ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:450:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
450 | for(int k = 0; k < fn_[j].size(); k++){
| ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:474:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
474 | for(int i =0; i<fn_.size();i++){
| ~^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:475:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
475 | for(int j = 0; j < re_pars_[i].size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:476:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
476 | for(int k = 0; k < re_pars_[i][j].size(); k++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:484:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
484 | for(int i =0; i<fn_.size();i++){
| ~^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:491:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
491 | for(int j = 0; j<fn_[i].size();j++){
| ~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:495:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
495 | for(int j = 0; j<fn_[i].size();j++){
| ~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:518:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
518 | for(int k = 0; k < re_pars_[i][j].size(); k++)re_par_less_min_[k] -= minvalue;
| ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:524:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
524 | for(int j = 0; j < (fn_[i].size()-1); j++){
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:539:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::calculator>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
539 | for(int i = 0; i < calc_.size(); i++){
| ~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:546:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::calculator>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
546 | for(int i = 0; i < calc_.size(); i++) re_count_[re_order_[i]] += re_temp_data_[i].size();
| ~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘void glmmr::Covariance::Z_updater()’:
../inst/include/glmmr/covariance.hpp:614:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::ZNonZero>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
614 | for(int i = 0; i < z_nonzero.size(); i++){
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:615:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
615 | for(int j = 0; j < z_nonzero[i].rows.size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/covariance.hpp:718:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
718 | } else if(parameters_.size() == parameters.size()){
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~
../inst/include/glmmr/covariance.hpp:795:44: required from here
795 | MatrixXd M = Map<MatrixXd>(L.data(), n, n);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:822:35: required from here
822 | samps.segment(idx,ndim) = L*zz;
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:878:15: required from here
878 | return ZL * u;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:914:94: required from here
914 | zquad.segment(0,blocksize).noalias() = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:915:85: required from here
915 | size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘bool glmmr::Covariance::any_group_re() const’:
../inst/include/glmmr/covariance.hpp:1024:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1024 | for(int i = 0; i < fn_.size(); i++){
| ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘bool glmmr::Covariance::all_group_re() const’:
../inst/include/glmmr/covariance.hpp:1037:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1037 | for (int i = 0; i < fn_.size(); i++) {
| ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1038:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1038 | for (int j = 0; j < fn_[i].size(); j++) {
| ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘bool glmmr::Covariance::all_log_re() const’:
../inst/include/glmmr/covariance.hpp:1048:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1048 | for (int i = 0; i < fn_.size(); i++) {
| ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1049:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::CovFunc>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1049 | for (int j = 0; j < fn_[i].size(); j++) {
| ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘bool glmmr::Covariance::any_log_re() const’:
../inst/include/glmmr/covariance.hpp:1061:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<glmmr::CovFunc> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1061 | for(int i = 0; i < fn_.size(); i++){
| ~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/glmmr/covariance.hpp:1110:25: required from here
1110 | double qf = vmat.col(i).dot(umat.col(i));
| ~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:1120:68: required from here
1120 | grad_j += 0.5 * uweight(i) * (umat.col(i).dot(S[j] * vmat.col(i)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/covariance.hpp:1125:32: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1139:17: required from here
1139 | gradients.tail(grad.size()) = grad;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function ‘strvec glmmr::Covariance::parameter_names()’:
../inst/include/glmmr/covariance.hpp:1212:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1212 | for(int i = 0; i < form_.re_.size(); i++){
| ~~^~~~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:4:
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘dblvec glmmr::hsgpCovariance::d_spd_nD(int)’:
../inst/include/glmmr/hsgpcovariance.hpp:244:25: warning: unused variable ‘M_PI2’ [-Wunused-variable]
244 | const static double M_PI2 = 2 * M_PI;
| ^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:71: required from here
282 | fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
| ~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:87: required from here
282 | fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:88: required from here
282 | fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:106: required from here
282 | fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<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
| ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:38: required from here
282 | fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
| ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:107: required from here
282 | fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:302:30: required from here
302 | return As * As.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:387:24: required from here
387 | VectorXd uquad = u * L;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:63: required from here
388 | ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:63: required from here
388 | ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: 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, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:65: required from here
388 | ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp: In member function ‘void glmmr::hsgpCovariance::gen_indices()’:
../inst/include/glmmr/hsgpcovariance.hpp:413:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
413 | for(int i = 0; i < linspace_vec[0].size(); i++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:417:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
417 | for(int i = 0; i < indices_vec.size(); i++){
| ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:418:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
418 | for(int j = 0; j < indices_vec[0].size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:429:28: required from here
429 | PhiT = Phi.transpose() * Phi;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:436:26: required from here
436 | pnew *= Lambda.sqrt().matrix().asDiagonal();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:436:35: required from here
436 | pnew *= Lambda.sqrt().matrix().asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:438:36: required from here
438 | pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:438:45: required from here
438 | pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:12:34: required from here
12 | ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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 ../inst/include/glmmr/nngpcovariance.hpp:5:
../inst/include/glmmr/griddata.hpp: In member function ‘Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)’:
../inst/include/glmmr/griddata.hpp:37:19: warning: comparison of integer expressions of different signedness: ‘std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
37 | if (pq.size() < n)
| ~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:41: required from here
147 | double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:61: required from here
147 | double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:66: required from here
147 | double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:155:26: required from here
155 | return Dvec.array().log().sum();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:72: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:185:72: required from here
185 | Dvec(i) = val - (A.col(i).head(idxlim).transpose() * Sv.head(idxlim))(0);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:237:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
237 | } else if(parameters_.size() == parameters.size()){
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function ‘void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)’:
../inst/include/glmmr/nngpcovariance.hpp:253:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
253 | } else if(parameters_.size() == parameters.size()){
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:268:36: required from here
268 | ArrayXd dsqrt = Dvec.array().sqrt();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:281:40: required from here
281 | return y * dsqrt.matrix().asDiagonal();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::Matrix<double, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:68: required from here
427 | A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:214: required from here
428 | for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 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-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 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-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:214: required from here
428 | for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 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-devel-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>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 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-devel-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>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:114: required from here
428 | for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:103: required from here
430 | for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:131: required from here
430 | for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~
../inst/include/glmmr/ar1covariance.hpp:128:27: required from here
128 | Map<const MatrixXd> U(u.col(c).data(), n_A, T);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const 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-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:131:36: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:131:65: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:135:60: required from here
135 | result.col(c).segment(t * n_A, n_A) = matZ * LU.col(t);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~
../inst/include/glmmr/ar1covariance.hpp:151:59: required from here
151 | result.col(c) = Map<const VectorXd>(LU.data(), n_A * T);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:171:27: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const 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-devel-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<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:171:32: required from here
171 | MatrixXd M = U.transpose() * W;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:172:52: required from here
172 | double qf = (M.array() * ar_factor_inverse.array()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:175:50: required from here
175 | double logdet_R = 2.0 * ar_factor_chol.diagonal().array().log().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:175:58: required from here
175 | double logdet_R = 2.0 * ar_factor_chol.diagonal().array().log().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:175:64: required from here
175 | double logdet_R = 2.0 * ar_factor_chol.diagonal().array().log().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/ar1covariance.hpp:226:44: required from here
226 | ar_factor_inverse = ar_factor.llt().solve(MatrixXd::Identity(T, T));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:322:56: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:333:47: required from here
333 | grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:333:65: required from here
333 | grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:370:72: required from here
370 | m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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, true> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:78:87: required from here
78 | double llmod = maths::log_likelihood(model.data.y.array(),xb + zu_.col(i).array(), model.data.variance,model.family);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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
| ^~~~~
../inst/include/glmmr/randomeffects.hpp:99:32: required from here
99 | mergedata.bottomRows(nnew) = newdata_;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:121:35: required from here
121 | result.vec = SSV.rowwise().mean();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:121:35: required from here
121 | result.vec = SSV.rowwise().mean();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:122:43: required from here
122 | result.mat -= D12 * D22 * D12.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:147:38: required from here
147 | newLuCol = newLu.col(i) - result.vec;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:148:50: required from here
148 | result.mat += (newLuCol * newLuCol.transpose());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:62:29: required from here
62 | W_ = (W_.array()*nvar_par).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:62:37: required from here
62 | W_ = (W_.array()*nvar_par).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:348:20: required from here
348 | M = XtXW * M * XtXW;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:410:60: required from here
410 | MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:410:65: required from here
410 | MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:55: required from here
485 | oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<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-devel-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::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-devel-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::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-devel-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::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<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,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:63: required from here
485 | oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:77: required from here
485 | oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:86: required from here
485 | oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<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-devel-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::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-devel-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::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-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<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,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:533:68: required from here
533 | Mbt.col(i) += Xsub.transpose() * SigmaInvsub * Ssub1 * SigmaInvsub * residsub;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:533:82: required from here
533 | Mbt.col(i) += Xsub.transpose() * SigmaInvsub * Ssub1 * SigmaInvsub * residsub;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:533:82: required from here
533 | Mbt.col(i) += Xsub.transpose() * SigmaInvsub * Ssub1 * SigmaInvsub * residsub;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:42: required from here
624 | Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:42: required from here
624 | Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:42: required from here
624 | Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:46: required from here
624 | Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -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-devel-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, 1, -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,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:17: required from here
624 | Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:635:18: required from here
635 | Q.sum(counter,Xsub.transpose()*SPS*Ssub2*SigmaInvsub*Xsub);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:698:84: required from here
698 | M_theta_kr(i,j) += -1.0*(M*Q(counter)).trace() + 0.5*((M*Pmat(i)*M*Pmat(j)).trace());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:729:68: required from here
729 | Moim.bottomRightCorner(Rmod,Rmod) = -1.0*(M_theta + M_theta_oim);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_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-devel-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_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-devel-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_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-devel-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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:729:68: required from here
729 | Moim.bottomRightCorner(Rmod,Rmod) = -1.0*(M_theta + M_theta_oim);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:87: required from here
742 | meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:106: required from here
742 | meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:107: required from here
742 | meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:107: required from here
742 | meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<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-devel-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::Product<Eigen::Product<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-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:751:60: required from here
751 | meat += M_theta(i,i)*(Q(scnd_idx) - Pmat(i)*M*Pmat(i));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<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-devel-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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<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-devel-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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:751:60: required from here
751 | meat += M_theta(i,i)*(Q(scnd_idx) - Pmat(i)*M*Pmat(i));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:757:26: required from here
757 | M_new = M + 2*M*meat*M;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:757:26: required from here
757 | M_new = M + 2*M*meat*M;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::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-devel-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::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::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-devel-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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:757:26: required from here
757 | M_new = M + 2*M*meat*M;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:791:51: required from here
791 | V[i] += ((XSXM*SigX.transpose()*S(i)*SigX*M).trace());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, 1> >, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:824:37: required from here
824 | Theta = (1/vlb)*(L*L.transpose());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:832:64: required from here
832 | a2 += mult*M_theta(i,j)*(Theta*Pmat(i)*M*Theta*Pmat(j)*M).trace();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:832:66: required from here
832 | a2 += mult*M_theta(i,j)*(Theta*Pmat(i)*M*Theta*Pmat(j)*M).trace();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:884:73: required from here
884 | for(int i = 0; i < ncol_r; i++) resids.col(i) = yxb - zuOffset.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_sum<double, double>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:892:48: required from here
892 | VectorXd colmeans = resids.colwise().mean().transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:892:48: required from here
892 | VectorXd colmeans = resids.colwise().mean().transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:895:59: required from here
895 | std_dev = sqrt((resids.col(i).array() - colmeans(i)).square().sum()/(resids.rows() - 1));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:895:68: required from here
895 | std_dev = sqrt((resids.col(i).array() - colmeans(i)).square().sum()/(resids.rows() - 1));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:944:36: required from here
944 | B = Px - Xr*XrtXr*Xr.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:967:34: required from here
967 | size_n_array += (ZL * v).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:975:45: required from here
975 | size_n_array = size_n_array.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:982:41: required from here
982 | size_n_array = size_n_array.exp();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, const Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, const Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, const Eigen::Array<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, const Eigen::Array<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:986:37: required from here
986 | size_n_array = size_n_array/expmu;
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1022:40: required from here
1022 | n_array2 = -1.0 * (pdf / (1.0 - cdf));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, 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::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, 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::Array<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, 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::Array<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, 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::Array<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, 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::Array<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1022:41: required from here
1022 | n_array2 = -1.0 * (pdf / (1.0 - cdf));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, 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::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, 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::Array<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, 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::Array<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, 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::Array<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, 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::Array<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1022:41: required from here
1022 | n_array2 = -1.0 * (pdf / (1.0 - cdf));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1031:56: required from here
1031 | ArrayXXd logitxb = (size_n_array.exp().inverse() + 1.0).inverse();
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1031:60: required from here
1031 | ArrayXXd logitxb = (size_n_array.exp().inverse() + 1.0).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1041:30: required from here
1041 | size_n_array = logitxb - size_n_array;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1117:30: required from here
1117 | return size_n_array.matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1138:50: required from here
1138 | size_q_array = (ZLt * size_n_array.matrix()).array()-v.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1138:67: required from here
1138 | size_q_array = (ZLt * size_n_array.matrix()).array()-v.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1138:67: required from here
1138 | size_q_array = (ZLt * size_n_array.matrix()).array()-v.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1233:29: required from here
1233 | W_ = eta.exp().matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1241:45: required from here
1241 | W_ = ArrayXd::Ones(eta.size()).matrix(); // Constant weight = 1
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1267:56: required from here
1267 | WZL.noalias() = (ZL.array().colwise() * W_.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1267:56: required from here
1267 | WZL.noalias() = (ZL.array().colwise() * W_.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1267:64: required from here
1267 | WZL.noalias() = (ZL.array().colwise() * W_.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1282:26: required from here
1282 | eta = xb + u.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1284:37: required from here
1284 | ArrayXd exp_neg_eta = (-eta).exp();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1285:50: required from here
1285 | ArrayXd logitp = 1.0 / (1.0 + exp_neg_eta);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1287:38: required from here
1287 | W_ = (var_p * (1.0 - logitp)).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, 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::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, 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::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, 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::Array<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, 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::Array<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1287:46: required from here
1287 | W_ = (var_p * (1.0 - logitp)).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1306:38: required from here
1306 | yb.noalias() = LWL * b + ZLt * resid;
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1310:24: required from here
1310 | diff = (b - bnew).array().abs().maxCoeff();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1310:32: required from here
1310 | diff = (b - bnew).array().abs().maxCoeff();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1310:38: required from here
1310 | diff = (b - bnew).array().abs().maxCoeff();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1320:56: required from here
1320 | WX.noalias() = (X.array().colwise() * W_.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1320:64: required from here
1320 | WX.noalias() = (X.array().colwise() * W_.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:167:62: required from here
167 | current_ll_values.first = ll_current.col(0).tail(eval_size).mean();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:168:104: required from here
168 | current_ll_var.first = (ll_current.col(0).tail(eval_size) - ll_current.col(0).tail(eval_size).mean()).square().sum() / (eval_size - 1);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:168:113: required from here
168 | current_ll_var.first = (ll_current.col(0).tail(eval_size) - ll_current.col(0).tail(eval_size).mean()).square().sum() / (eval_size - 1);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:327:86: required from here
327 | VectorXd XtVinvr = sigma2_inv * X.transpose() * r - sigma4_inv * C.transpose() * M_inv_c;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:694:33: required from here
694 | WX = w.asDiagonal() * X;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:707:46: required from here
707 | CZZ = ZWZ - WX * (XtWX * WX.transpose());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:707:46: required from here
707 | CZZ = ZWZ - WX * (XtWX * WX.transpose());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:837:39: required from here
837 | W = (W.array().colwise() * nvar_par).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:837:39: required from here
837 | W = (W.array().colwise() * nvar_par).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:837:48: required from here
837 | W = (W.array().colwise() * nvar_par).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:851:77: required from here
851 | resid += re.u_weight_(i) * (W.col(i).array() * zdresid.col(i).array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:108: required from here
865 | XtWXm_private.noalias() += re.u_weight_(i) * X.transpose() * (X.array().colwise() * W.col(i).array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:108: required from here
865 | XtWXm_private.noalias() += re.u_weight_(i) * X.transpose() * (X.array().colwise() * W.col(i).array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:874:46: required from here
874 | gradients.head(X.cols()) = X.transpose() * resid;
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:875:29: recursively required by substitution of ‘template<class Rhs> const Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Rhs> Eigen::SolverBase<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1> >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]’
875 | VectorXd bincr = llt.solve(gradients.head(X.cols()).matrix());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:875:29: required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:878:72: required from here
878 | current_ll_var.first = (ll_current.col(0) - ll_current.col(0).mean()).square().sum() / (ll_current.col(0).size() - 1);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:878:81: required from here
878 | current_ll_var.first = (ll_current.col(0) - ll_current.col(0).mean()).square().sum() / (ll_current.col(0).size() - 1);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:917:70: required from here
917 | VectorXd XtVinvy = sigma2_inv * Xty - sigma4_inv * C.transpose() * M_inv_c;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:984:56: required from here
984 | VectorXd ZtVinvr = sigma2_inv * c - sigma4_inv * G * M_inv_c;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:998:59: required from here
998 | double trM_inv_G = (M_inv.array() * G.transpose().array()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:998:61: required from here
998 | double trM_inv_G = (M_inv.array() * G.transpose().array()).sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1006:18: required from here
1006 | + sigma8_inv * G_M_inv_G_M_inv_G;
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -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-devel-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::CwiseBinaryOp<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::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, 1, -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-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1011:50: required from here
1011 | + sigma8_inv * C.transpose() * M_inv_G_M_inv * C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1016:30: required from here
1016 | + sigma8_inv * G_M_inv_G * M_inv_C;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1037:32: required from here
1037 | ZtPZ = ZtVinvZ - ZtVinvX * XtVinvX_inv_ZtVinvX_t;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1041:32: required from here
1041 | ZtPr = ZtVinvr - ZtVinvX * XtVinvX_inv_XtVinvr;
| ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:58: required from here
1045 | - sigma4_inv * Z * (M_inv * (C * XtVinvX_inv_XtVinvr));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:58: required from here
1045 | - sigma4_inv * Z * (M_inv * (C * XtVinvX_inv_XtVinvr));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1082:53: required from here
1082 | ZtP2Z = ZtV2Z - term2_mat - term2_mat.transpose() + term3_mat;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1082:57: required from here
1082 | ZtP2Z = ZtV2Z - term2_mat - term2_mat.transpose() + term3_mat;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 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-devel-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_difference_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::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1082:57: required from here
1082 | ZtP2Z = ZtV2Z - term2_mat - term2_mat.transpose() + term3_mat;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1136:72: required from here
1136 | fisher.diagonal().array() += 0.01 * fisher.diagonal().array().abs().maxCoeff() + 1e-6;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1143:39: required from here
1143 | double max_step = step.array().abs().maxCoeff();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Array<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1198:70: required from here
1198 | if(trace > 0)Rcpp::Rcout << "\nGradients: " << gradients.transpose() << " | ||G|| = " << gradients.matrix().norm();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/glmmr/modeloptim.hpp:1247:52: required from here
1247 | MatrixXd Phi_d0 = Phi * lambda_deriv.matrix().col(0).asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1247:67: required from here
1247 | MatrixXd Phi_d0 = Phi * lambda_deriv.matrix().col(0).asDiagonal();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_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-devel-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_inverse_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-devel-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_inverse_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-devel-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_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1255:59: required from here
1255 | W_ = (model.data.variance.inverse() * model.data.weights).matrix();
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_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-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1255:74: required from here
1255 | W_ = (model.data.variance.inverse() * model.data.weights).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1256:40: required from here
1256 | resid = model.data.y.array() - eta;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1264:62: required from here
1264 | resid = model.data.y.array() - model.data.variance * logitp;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1265:56: required from here
1265 | W_ = (model.data.variance * logitp * (1- logitp)).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1265:65: required from here
1265 | W_ = (model.data.variance * logitp * (1- logitp)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1273:48: required from here
1273 | resid = model.data.y.array() - eta.exp();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1284:43: required from here
1284 | ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1284:51: required from here
1284 | ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1308:57: required from here
1308 | model.covariance.update_parameters(logpars.array().exp());
| ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In member function ‘void glmmr::ModelOptim<modeltype>::nr_theta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modeloptim.hpp:1229:13: warning: unused variable ‘resid_size’ [-Wunused-variable]
1229 | const int resid_size = model.data.y.size();
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<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-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<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,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1349:105: required from here
1349 | double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1361:43: required from here
1361 | sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1.0);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::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>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1361:52: required from here
1361 | sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1.0);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1428:116: required from here
1428 | Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1498:58: required from here
1498 | holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1503:33: required from here
1503 | weightsnew = weightsnew.abs();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1505:40: required from here
1505 | diff = ((weights-weightsnew).abs()).maxCoeff();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
model_module.cpp: In function ‘SEXPREC* ModelBits__new(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’:
model_module.cpp:805:19: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
805 | if(theta.size() != covnpar){
| ~~~~~~~~~~~~~^~~~~~~~~~
model_module.cpp: In function ‘void setParallel(SEXP, int)’:
model_module.cpp:2255:8: warning: variable ‘a’ set but not used [-Wunused-but-set-variable]
2255 | int a, b; // needed for defines on machines without openmp
| ^
model_module.cpp: In function ‘std::vector<std::__cxx11::basic_string<char> > re_names(const std::string&, bool)’:
model_module.cpp:2280:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2280 | for(int i = 0; i < form.re_.size(); i++){
| ~~^~~~~~~~~~~~~~~~~
model_module.cpp:2284:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2284 | for(int i = 0; i < form.re_.size(); i++){
| ~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
../inst/include/glmmr/covariance.hpp:79:14: required from here
79 | return Z * LS;
| ~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~^~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, false>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
167 | typedef typename PlainObjectType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:915:84: required from here
915 | size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
| ~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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 ../inst/include/glmmr/maths.h:7,
from ../inst/include/glmmr/covariance.hpp:5:
../inst/include/glmmr/algo.h: In instantiation of ‘void glmmr::algo::combinations(const std::vector<std::vector<T> >&, int, int, std::vector<T>&, std::vector<std::vector<T> >&) [with T = int]’:
../inst/include/glmmr/hsgpcovariance.hpp:414:30: required from here
414 | glmmr::algo::combinations(linspace_vec,0,i,ind_buffer,indices_vec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:40:8: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | if(n == vecs.size()-1){
| ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:43:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
43 | for(int i = 0; i < vecs[n+1].size(); i++){
| ~~^~~~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/covariance.hpp:10:
../inst/include/glmmr/matrixfield.h: In instantiation of ‘T glmmr::MatrixField<T>::operator()(int) const [with T = Eigen::Matrix<double, -1, 1>]’:
../inst/include/glmmr/nngpcovariance.hpp:391:40: required from here
391 | for(int i = 0; i < dD.size(); i++) dD(i)(0) = s0vals[i+1];
| ~~^~~
../inst/include/glmmr/matrixfield.h:38:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Eigen::Matrix<double, -1, 1>, std::default_delete<Eigen::Matrix<double, -1, 1> > >, std::allocator<std::unique_ptr<Eigen::Matrix<double, -1, 1>, std::default_delete<Eigen::Matrix<double, -1, 1> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
38 | if(i >= data.size()) throw std::runtime_error("Accessing index out of range matrix field");
| ~~^~~~~~~~~~~~~~
../inst/include/glmmr/matrixfield.h: In instantiation of ‘T glmmr::MatrixField<T>::operator()(int) const [with T = Eigen::Matrix<double, -1, -1>]’:
../inst/include/glmmr/nngpcovariance.hpp:428:38: required from here
428 | for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
| ~~^~~
../inst/include/glmmr/matrixfield.h:38:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Eigen::Matrix<double, -1, -1>, std::default_delete<Eigen::Matrix<double, -1, -1> > >, std::allocator<std::unique_ptr<Eigen::Matrix<double, -1, -1>, std::default_delete<Eigen::Matrix<double, -1, -1> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
38 | if(i >= data.size()) throw std::runtime_error("Accessing index out of range matrix field");
| ~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57: required from here
280 | double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73: required from here
333 | grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80: required from here
370 | m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:589:85: required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood(bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
589 | ll_current(j,llcol ) = glmmr::maths::log_likelihood(model.data.y.array(),xb + re.zu_.col(j).array(),
| ~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:455:29: required from here
455 | double ll = log_likelihood(false);
| ~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:590:40: required from ‘double glmmr::ModelOptim<modeltype>::log_likelihood(bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
590 | model.data.variance * model.data.weights.inverse(),
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:455:29: required from here
455 | double ll = log_likelihood(false);
| ~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:855:56: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
855 | return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1246:31: required from here
1246 | MatrixXd zd = matrix.linpred();
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:855:27: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
855 | return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1246:31: required from here
1246 | MatrixXd zd = matrix.linpred();
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:855:27: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
855 | return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1246:31: required from here
1246 | MatrixXd zd = matrix.linpred();
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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::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-devel-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::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-devel-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::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,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp.h:47,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:26:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:27:36: required from here
27 | std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:27:59: required from here
27 | std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:27:82: required from here
27 | std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >]’:
../inst/include/glmmr.h:27:104: required from here
27 | std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::LinearPredictor]’:
model_module.cpp:71:30: required from here
71 | XPtr<glmmr::LinearPredictor> ptr(new glmmr::LinearPredictor(f1,data,colnames));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::LinearPredictor’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Covariance]’:
model_module.cpp:118:18: required from here
118 | XPtr<covariance> ptr(new covariance(f1,data,colnames),true);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::Covariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::nngpCovariance]’:
model_module.cpp:127:12: required from here
127 | XPtr<nngp> ptr(new nngp(form,data,colnames),true);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::nngpCovariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::hsgpCovariance]’:
model_module.cpp:136:12: required from here
136 | XPtr<hsgp> ptr(new hsgp(form,data,colnames),true);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::hsgpCovariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::ar1Covariance]’:
model_module.cpp:145:21: required from here
145 | XPtr<ar1covariance> ptr(new ar1covariance(form,data,colnames,T),true);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::ar1Covariance’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h: In instantiation of ‘void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:801:12: required from here
801 | XPtr<bits>ptr(new bits(formula,data,colnames,family,link),true);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type ‘glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>’ which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
31 | delete obj;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double, 0, int>, 1024>’
22 | class SparseTransposeImpl<MatrixType,CompressedAccessBit>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1130:16: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1130 | ZLt.transpose();
| ~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1136:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1136:89: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1136 | size_p_array = (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1145:48: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1145 | size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1145:118: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1145 | size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:83: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1159 | size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:97: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1159 | size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 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-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:123: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1159 | size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:96: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1170 | size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:117: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1170 | size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:120: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1170 | size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:144: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1170 | size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 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-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:170: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1170 | size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:95: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1182 | size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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-devel-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, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 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-devel-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, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<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-devel-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, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<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> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:105: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1182 | size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:107: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1182 | size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, 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-devel-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_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:133: required from ‘Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1182 | size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:234:40: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::Sigma(bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
234 | S += W.W().array().inverse().matrix().asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1339:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1341:22: required from here
1341 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:1350:66: required from ‘Model__information_matrix(SEXP, int)::<lambda(auto:62)> [with auto:62 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1350 | [](auto ptr){return returnType(ptr->matrix.information_matrix());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22: required from here
1352 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
157 | for(int i = 0; i< sigma_blocks.size(); i++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:1350:66: required from ‘Model__information_matrix(SEXP, int)::<lambda(auto:62)> [with auto:62 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
1350 | [](auto ptr){return returnType(ptr->matrix.information_matrix());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22: required from here
1352 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
157 | for(int i = 0; i< sigma_blocks.size(); i++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:1350:66: required from ‘Model__information_matrix(SEXP, int)::<lambda(auto:62)> [with auto:62 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
1350 | [](auto ptr){return returnType(ptr->matrix.information_matrix());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22: required from here
1352 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
157 | for(int i = 0; i< sigma_blocks.size(); i++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:1350:66: required from ‘Model__information_matrix(SEXP, int)::<lambda(auto:62)> [with auto:62 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
1350 | [](auto ptr){return returnType(ptr->matrix.information_matrix());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22: required from here
1352 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
157 | for(int i = 0; i< sigma_blocks.size(); i++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:1361:65: required from ‘Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> [with auto:63 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1361 | [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: ‘std::deque<double, std::allocator<double> >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
1165 | if(gradient_history.size() > hist) gradient_history.pop_front();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:1361:65: required from ‘Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> [with auto:63 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
1361 | [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: ‘std::deque<double, std::allocator<double> >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
1165 | if(gradient_history.size() > hist) gradient_history.pop_front();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:1361:65: required from ‘Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> [with auto:63 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
1361 | [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: ‘std::deque<double, std::allocator<double> >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
1165 | if(gradient_history.size() > hist) gradient_history.pop_front();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:1361:65: required from ‘Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> [with auto:63 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
1361 | [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: ‘std::deque<double, std::allocator<double> >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
1165 | if(gradient_history.size() > hist) gradient_history.pop_front();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:320:44: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
320 | infomat.topRightCorner(P(),npar) = -1.0*Mt.bottomRows(P());
| ~~~~^~~~~~~~~~~~~~~~~~~
model_module.cpp:1492:100: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:321:46: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
321 | infomat.bottomLeftCorner(npar,P()) = -1.0*Mt.bottomRows(P()).transpose();
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1492:100: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:60:64: required from ‘Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::Covariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
60 | virtual ArrayXd xb() {return linear_predictor.xb().array() + data.offset.array();};
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1727:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:96)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:96)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1729:22: required from here
1729 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 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-devel-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_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:892:58: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::residuals(int, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
892 | VectorXd colmeans = resids.colwise().mean().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1790:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22: required from here
1792 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module.cpp:1871:50: required from ‘Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> [with auto:103 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1871 | [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1872 | x,atvar,atmeansvar,averagevar,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1873 | static_cast<glmmr::RandomEffectMargin>(re),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1874 | static_cast<glmmr::SE>(se),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
1875 | static_cast<glmmr::IM>(oim),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1876 | xvals,atxvals,atrevals
| ~~~~~~~~~~~~~~~~~~~~~~
1877 | ));}
| ~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22: required from here
1879 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:249:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
249 | for(int p = 0; p < at.size(); p++){
| ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:262:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
262 | for(int p = 0; p < atmeans.size(); p++){
| ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module.cpp:1871:50: required from ‘Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> [with auto:103 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
1871 | [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1872 | x,atvar,atmeansvar,averagevar,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1873 | static_cast<glmmr::RandomEffectMargin>(re),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1874 | static_cast<glmmr::SE>(se),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
1875 | static_cast<glmmr::IM>(oim),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1876 | xvals,atxvals,atrevals
| ~~~~~~~~~~~~~~~~~~~~~~
1877 | ));}
| ~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22: required from here
1879 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:249:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
249 | for(int p = 0; p < at.size(); p++){
| ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:262:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
262 | for(int p = 0; p < atmeans.size(); p++){
| ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module.cpp:1871:50: required from ‘Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> [with auto:103 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
1871 | [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1872 | x,atvar,atmeansvar,averagevar,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1873 | static_cast<glmmr::RandomEffectMargin>(re),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1874 | static_cast<glmmr::SE>(se),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
1875 | static_cast<glmmr::IM>(oim),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1876 | xvals,atxvals,atrevals
| ~~~~~~~~~~~~~~~~~~~~~~
1877 | ));}
| ~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22: required from here
1879 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:249:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
249 | for(int p = 0; p < at.size(); p++){
| ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:262:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
262 | for(int p = 0; p < atmeans.size(); p++){
| ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of ‘dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]’:
model_module.cpp:1871:50: required from ‘Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> [with auto:103 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
1871 | [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1872 | x,atvar,atmeansvar,averagevar,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1873 | static_cast<glmmr::RandomEffectMargin>(re),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1874 | static_cast<glmmr::SE>(se),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
1875 | static_cast<glmmr::IM>(oim),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1876 | xvals,atxvals,atrevals
| ~~~~~~~~~~~~~~~~~~~~~~
1877 | ));}
| ~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:103)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22: required from here
1879 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:249:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
249 | for(int p = 0; p < at.size(); p++){
| ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:262:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
262 | for(int p = 0; p < atmeans.size(); p++){
| ~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:392:24: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
392 | resid = model.data.y - glmmr::maths::mod_inv_func(resid, model.family.link);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2015:63: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22: required from here
2017 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:2026:97: required from ‘Model__infomat_theta(SEXP, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2026 | [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:56: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
472 | MatrixXd SigmaInvsub = glmmr::Eigen_ext::submat(SigmaInv,rows,rows);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:2026:97: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:2026:97: required from ‘Model__infomat_theta(SEXP, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2026 | [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:2026:97: required from ‘Model__infomat_theta(SEXP, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2026 | [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
model_module.cpp:2026:97: required from ‘Model__infomat_theta(SEXP, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2026 | [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2037:111: required from ‘Model__kenward_roger(SEXP, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2037 | [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:609:47: required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
609 | MatrixXd Xsub = glmmr::Eigen_ext::submat(X,rows,ArrayXi::LinSpaced(P(),0,P()-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2037:111: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2037:111: required from ‘Model__kenward_roger(SEXP, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2037 | [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2037:111: required from ‘Model__kenward_roger(SEXP, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2037 | [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2037:111: required from ‘Model__kenward_roger(SEXP, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2037 | [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2055:89: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2055 | return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24: required from here
2060 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2055:89: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2055 | return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24: required from here
2060 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2055:89: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2055 | return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24: required from here
2060 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2055:89: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2055 | return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24: required from here
2060 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2070:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2070 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2072:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2072 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2070:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2070 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2072:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2072 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2070:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2070 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2072:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2072 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2070:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2070 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2072:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2072 | return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2085:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2085 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2087:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2087 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2085:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2085 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2087:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2087 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2085:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2085 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2087:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2087 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2085:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2085 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2087:93: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> [with auto:119 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2087 | return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24: required from here
2090 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2100:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2100 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2102:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
2102 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2100:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2100 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2102:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
2102 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2100:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2100 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
model_module.cpp:2102:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
2102 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2100:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2100 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
709 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
model_module.cpp:2102:90: required from ‘Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> [with auto:120 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
2102 | return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:120)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24: required from here
2105 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
606 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:926:56: required from ‘BoxResults glmmr::ModelMatrix<modeltype>::box() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
926 | MatrixXd A = MatrixXd::Identity(Px.rows(),Px.cols()) - Px;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
model_module.cpp:2122:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22: required from here
2124 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’:
model_module.cpp:2320:48: required from here
2320 | Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1432:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1432 | for(int i = 0 ; i < SB.size(); i++){
| ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1478:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<Eigen::Matrix<double, -1, -1> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1478 | for(int k = 0; k < Xs.size(); k++){
| ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1496:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1496 | for(int i = 0 ; i < SB.size(); i++){
| ~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: 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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 1, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]’
1040 | SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
1110 | internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:599:23: required from here
599 | matZ.setFromTriplets(tripletList.begin(),tripletList.end());
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:924:24: required from here
924 | double quad = v.dot(u);
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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::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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1110:32: required from here
1110 | double qf = vmat.col(i).dot(umat.col(i));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<const 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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1120:50: required from here
1120 | grad_j += 0.5 * uweight(i) * (umat.col(i).dot(S[j] * vmat.col(i)));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]’
105 | dst = dst * this->derived();
| ~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]’
517 | other.derived().applyThisOnTheRight(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:436:49: required from here
436 | pnew *= Lambda.sqrt().matrix().asDiagonal();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]’
105 | dst = dst * this->derived();
| ~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]’
517 | other.derived().applyThisOnTheRight(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:438:59: required from here
438 | pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:70: required from here
1310 | current_ll_var.second = (ll_current.col(1) - ll_current.col(1).mean()).square().sum() / (ll_current.col(1).size() - 1);
| ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:63:32: required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
63 | W_ = ((W_.array().inverse()) * model.data.weights).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1066:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1068:13: required from here
1068 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:63:60: required from ‘void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
63 | W_ = ((W_.array().inverse()) * model.data.weights).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1066:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:42)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1068:13: required from here
1068 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:976:47: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
976 | size_n_array = size_n_array.colwise() * model.data.y.array();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:984:40: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
984 | size_n_array.colwise() += -1.0 * model.data.y.array();
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:997:28: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
997 | ArrayXXd logitxb = 1.0 - size_n_array.exp();
| ~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1000:38: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1000 | size_n_array = logitxb.colwise() * (model.data.y.array() - model.data.variance);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1008:48: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1008 | n_array2.colwise() *= (model.data.variance - model.data.y.array());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<double (*)(double), const Eigen::Array<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1019:18: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1019 | cdf.unaryExpr(&glmmr::maths::gaussian_cdf);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<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
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1031:68: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1031 | ArrayXXd logitxb = (size_n_array.exp().inverse() + 1.0).inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::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-devel-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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1063:49: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1063 | size_n_array.colwise() *= model.data.weights/model.data.var_par;
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:812:69: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
812 | if(trace > 1)Rcpp::Rcout << "\nESS: " << 1.0 / re.u_weight_.square().sum();
| ~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:851:84: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
851 | resid += re.u_weight_(i) * (W.col(i).array() * zdresid.col(i).array()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:851:32: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
851 | resid += re.u_weight_(i) * (W.col(i).array() * zdresid.col(i).array()).matrix();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:855:32: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
855 | resid += re.u_weight_(i) * (model.data.y - zd.col(i));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:115: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
865 | XtWXm_private.noalias() += re.u_weight_(i) * X.transpose() * (X.array().colwise() * W.col(i).array()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:66: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/modeloptim.hpp:875:29: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
875 | VectorXd bincr = llt.solve(gradients.head(X.cols()).matrix());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
../inst/include/glmmr/modelmatrix.hpp:316:52: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
316 | MatrixXd Mt = information_matrix_theta<IM::OIM>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100: required from ‘Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> [with auto:75 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1492 | [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
524 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
../inst/include/glmmr/modelmatrix.hpp:316:52: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
316 | MatrixXd Mt = information_matrix_theta<IM::OIM>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100: required from ‘Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> [with auto:75 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
1492 | [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
524 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
../inst/include/glmmr/modelmatrix.hpp:316:52: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
316 | MatrixXd Mt = information_matrix_theta<IM::OIM>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100: required from ‘Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> [with auto:75 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
1492 | [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
524 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
../inst/include/glmmr/modelmatrix.hpp:316:52: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
316 | MatrixXd Mt = information_matrix_theta<IM::OIM>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100: required from ‘Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> [with auto:75 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
1492 | [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:75)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22: required from here
1494 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
524 | for(int b = 0; b< sigma_blocks.size(); b++){
| ~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36: required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 0]’
594 | return m_matrix += extendedTo(other.derived());
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:883:24: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::residuals(int, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
883 | zuOffset.colwise() += model.data.offset;
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1790:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22: required from here
1792 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1264:33: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1264 | VectorXd resid = model.data.y - eta.matrix();
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1270:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1284:41: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1284 | ArrayXd exp_neg_eta = (-eta).exp();
| ~~~~~~~~~~^~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1285:30: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1285 | ArrayXd logitp = 1.0 / (1.0 + exp_neg_eta);
| ~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1302:47: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1302 | resid = ((model.data.y.array() - eta) / eta).matrix(); // (y - mu) / mu
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1302:60: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1302 | resid = ((model.data.y.array() - eta) / eta).matrix(); // (y - mu) / mu
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/modelmatrix.hpp:1369:22: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1369 | v = llt.solve(re.u_.col(i));
| ~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 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-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:638:83: required from ‘void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
638 | if(optim.trace > 0)Rcpp::Rcout << "\nu: " << re.u_.topRows(5).rowwise().mean().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-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_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/glmmr/model.hpp:638:95: required from ‘void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
638 | if(optim.trace > 0)Rcpp::Rcout << "\nu: " << re.u_.topRows(5).rowwise().mean().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:698:90: required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
698 | M_theta_kr(i,j) += -1.0*(M*Q(counter)).trace() + 0.5*((M*Pmat(i)*M*Pmat(j)).trace());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2037:111: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:831:56: required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
831 | a1 += mult*M_theta(i,j)*(Theta*Pmat(i)*M).trace()*(Theta*Pmat(j)*M).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:2037:111: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:832:72: required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
832 | a2 += mult*M_theta(i,j)*(Theta*Pmat(i)*M*Theta*Pmat(j)*M).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:2037:111: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:790:54: required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
790 | V[i] -= 2*((SigX.transpose()*S(i)*SS*X*M).trace());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2070:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:791:57: required from ‘CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
791 | V[i] += ((XSXM*SigX.transpose()*S(i)*SigX*M).trace());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2070:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:929:49: required from ‘BoxResults glmmr::ModelMatrix<modeltype>::box() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
929 | double trasig = ((ASig*ASig.transpose()).trace())/(asigtrace*asigtrace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2122:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22: required from here
2124 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; bool IsVector = false; Eigen::Index = long int]’
1025 | tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, true>::run(Eigen::DenseBase<Derived>&, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
1083 | Base::run(_this.derived(), new_rows, new_cols);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
426 | internal::conservative_resize_like_impl<Derived>::run(*this, size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:28: required from here
126 | matrix.conservativeResize(nSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
398 | TriangularViewType& operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: 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>]’
455 | mat.template triangularView<Lower>() /= scale;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; OtherDerived = Eigen::Array<double, -1, 1>; bool IsVector = false; Eigen::Index = long int]’
1025 | tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from ‘static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, true>::run(Eigen::DenseBase<Derived>&, Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; OtherDerived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’
1083 | Base::run(_this.derived(), new_rows, new_cols);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from ‘void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’
426 | internal::conservative_resize_like_impl<Derived>::run(*this, size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:1204:30: required from here
1204 | variance.conservativeResize(calc.variance.size());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: 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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]’
1063 | mat = trMat;
| ~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
1110 | internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:599:23: required from here
599 | matZ.setFromTriplets(tripletList.begin(),tripletList.end());
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57: required from here
280 | double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57: required from here
280 | double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73: required from here
333 | grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73: required from here
333 | grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80: required from here
370 | m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80: required from here
370 | m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:363:93: required from ‘double glmmr::ModelOptim<modeltype>::saem_average(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
363 | ll_t = ll_t + gamma*(ll_current.col(col).segment(lower_range, re.mcmc_block_size).mean() - ll_t);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:457:36: required from here
457 | if(control.saem)ll = saem_average(1);
| ~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:114:27: required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >]’
114 | dst = this->derived() * dst;
| ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1338:38: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1338 | if (weighted) XW.applyOnTheLeft(model.data.weights.matrix().asDiagonal());
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:137:15: required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
137 | if(useBlock)gen_sigma_blocks();};
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:47:3: required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with C = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
47 | matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:839:60: required from here
839 | XPtr<glmm> ptr(new glmm(formula,data,colnames,family,link),true);
| ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for(j = 0; j < sigma_blocks.size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:137:15: required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’
137 | if(useBlock)gen_sigma_blocks();};
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:60:9: required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const Eigen::ArrayXXd&, const strvec&, const strvec&, std::string, std::string, int) [with C = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
60 | matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:867:94: required from here
867 | XPtr<glmm_ar1> ptr(new glmm_ar1(formula,data,data_cov,colnames,colnames_cov,family,link, T_),true);
| ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for(j = 0; j < sigma_blocks.size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:137:15: required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’
137 | if(useBlock)gen_sigma_blocks();};
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:47:3: required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with C = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
47 | matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:879:70: required from here
879 | XPtr<glmm_nngp> ptr(new glmm_nngp(formula,data,colnames,family,link),true);
| ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for(j = 0; j < sigma_blocks.size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of ‘void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/modelmatrix.hpp:137:15: required from ‘glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
137 | if(useBlock)gen_sigma_blocks();};
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:47:3: required from ‘glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with C = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]’
47 | matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:910:70: required from here
910 | XPtr<glmm_hsgp> ptr(new glmm_hsgp(formula,data,colnames,family,link),true);
| ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<glmmr::SigmaBlock>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for(j = 0; j < sigma_blocks.size(); j++){
| ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:110:20: required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
110 | optim.update_beta(beta_);
| ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39: required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> [with auto:36 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1004 | [&beta](auto ptr){ptr->update_beta(beta);}
| ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13: required from here
1006 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
491 | for(int i = 0; i < beta.size(); i++)
| ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:110:20: required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
110 | optim.update_beta(beta_);
| ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39: required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> [with auto:36 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
1004 | [&beta](auto ptr){ptr->update_beta(beta);}
| ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13: required from here
1006 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
491 | for(int i = 0; i < beta.size(); i++)
| ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:110:20: required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
110 | optim.update_beta(beta_);
| ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39: required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> [with auto:36 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
1004 | [&beta](auto ptr){ptr->update_beta(beta);}
| ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13: required from here
1006 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
491 | for(int i = 0; i < beta.size(); i++)
| ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’:
../inst/include/glmmr/model.hpp:110:20: required from ‘void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
110 | optim.update_beta(beta_);
| ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39: required from ‘Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> [with auto:36 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
1004 | [&beta](auto ptr){ptr->update_beta(beta);}
| ~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:36)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13: required from here
1006 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
491 | for(int i = 0; i < beta.size(); i++)
| ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:530:51: required from ‘bool Eigen::DenseBase<Derived>::isZero(const RealScalar&) const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; RealScalar = double]’
530 | typename internal::nested_eval<Derived,1>::type self(derived());
| ^~~~
../inst/include/glmmr/model.hpp:147:56: required from ‘void glmmr::Model<modeltype>::update_u(const Eigen::MatrixXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
147 | if(append && re.u_.cols() == 1 && re.u_.col(0).isZero()) action_append = false;
| ~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1035:32: required from ‘Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> [with auto:39 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1035 | [&](auto ptr){ptr->update_u(u, append);}
| ~~~~~~~~~~~~~^~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:39)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1037:13: required from here
1037 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36: required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Array<double, -1, -1>; int Direction = 0]’
594 | return m_matrix += extendedTo(other.derived());
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:984:32: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
984 | size_n_array.colwise() += -1.0 * model.data.y.array();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:615:29: required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator*=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Array<double, -1, -1>; int Direction = 0]’
615 | m_matrix *= extendedTo(other.derived());
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1008:24: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1008 | n_array2.colwise() *= (model.data.variance - model.data.y.array());
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:615:29: required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator*=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; ExpressionType = Eigen::Array<double, -1, -1>; int Direction = 0]’
615 | m_matrix *= extendedTo(other.derived());
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1063:28: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
1063 | size_n_array.colwise() *= model.data.weights/model.data.var_par;
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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 ../inst/include/glmmr/modeloptim.hpp:8:
../inst/include/glmmr/optim/optim.h: In instantiation of ‘void optim<T(const std::vector<T>&), NEWUOA>::minimise() [with T = double]’:
../inst/include/glmmr/modeloptim.hpp:165:14: required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
165 | op.minimise();
| ~~~~~~~~~~~^~
model_module.cpp:1262:44: required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> [with auto:56 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1262 | ptr->optim.template ml_beta<NEWUOA>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1270:13: required from here
1270 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:339:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
339 | for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf;
| ~^~~~~
../inst/include/glmmr/optim/optim.h:343:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
343 | for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf;
| ~^~~~~
../inst/include/glmmr/optim/optim.h:353:12: warning: unused variable ‘result’ [-Wunused-variable]
353 | double result = newuoa_closure( &closure, dim, control.npt, current_values.data(), control.rhobeg, control.rhoend, control.maxfun, w.data(), &fn_counter);
| ^~~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of ‘void optim<T(const std::vector<T>&), BOBYQA>::minimise() [with T = double]’:
../inst/include/glmmr/modeloptim.hpp:165:14: required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = BOBYQA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
165 | op.minimise();
| ~~~~~~~~~~~^~
model_module.cpp:1265:44: required from ‘Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> [with auto:56 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1265 | ptr->optim.template ml_beta<BOBYQA>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1270:13: required from here
1270 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:159:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
159 | for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf;
| ~^~~~~
../inst/include/glmmr/optim/optim.h:163:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
163 | for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf;
| ~^~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<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-devel-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::MatrixWrapper<Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1>’
61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:615:29: required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator*=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, 1>; ExpressionType = Eigen::Array<double, -1, 1>; int Direction = 0]’
615 | m_matrix *= extendedTo(other.derived());
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1263:66: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1263 | if(model.family.family == Fam::binomial) eta.array().colwise() *= model.data.variance;
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:905:22: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
905 | MatrixXd M = D_inv + sigma2_inv * G;
| ~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:592:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -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-devel-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::CwiseBinaryOp<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::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, 1, -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-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:917:39: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
917 | VectorXd XtVinvy = sigma2_inv * Xty - sigma4_inv * C.transpose() * M_inv_c;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:592:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/model.hpp:592:29: required from ‘void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
592 | optim.nr_beta_gaussian();
| ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27: required from ‘Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> [with auto:102 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]’
1833 | [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable ‘n’ [-Wunused-variable]
883 | int n = model.data.y.size();
| ^
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, 1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:984:37: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
984 | VectorXd ZtVinvr = sigma2_inv * c - sigma4_inv * G * M_inv_c;
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-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_difference_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::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-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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 :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1006:3: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1004 | MatrixXd ZtV2Z = sigma4_inv * G
| ~~~~~~~~~~~~~~
1005 | - 2.0 * sigma6_inv * G_M_inv_G
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1006 | + sigma8_inv * G_M_inv_G_M_inv_G;
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -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-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -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-devel-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_difference_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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -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-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1011:3: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1009 | MatrixXd XtV2X = sigma4_inv * XtX
| ~~~~~~~~~~~~~~~~
1010 | - 2.0 * sigma6_inv * C.transpose() * M_inv_C
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1011 | + sigma8_inv * C.transpose() * M_inv_G_M_inv * C;
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> >, 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::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> >, 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::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_difference_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::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::Matrix<double, -1, -1>, 0> >, 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::Matrix<double, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> >, 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::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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::Matrix<double, -1, -1>, 0> >, 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::Matrix<double, -1, -1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1016:3: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1014 | MatrixXd ZtV2X = sigma4_inv * C
| ~~~~~~~~~~~~~~
1015 | - 2.0 * sigma6_inv * G * M_inv_C
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1016 | + sigma8_inv * G_M_inv_G * M_inv_C;
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
../inst/include/glmmr/modeloptim.hpp:1036:55: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1036 | MatrixXd XtVinvX_inv_ZtVinvX_t = llt_XtVinvX.solve(ZtVinvX.transpose());
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:5: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1044 | VectorXd VinvX_adj = sigma2_inv * X * XtVinvX_inv_XtVinvr
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1045 | - sigma4_inv * Z * (M_inv * (C * XtVinvX_inv_XtVinvr));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1080:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1150:38: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1150 | VectorXd theta_new = theta_current + step.head(n_theta);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -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-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -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-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:327:55: required from ‘double glmmr::ModelOptim<modeltype>::marginal_log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
327 | VectorXd XtVinvr = sigma2_inv * X.transpose() * r - sigma4_inv * C.transpose() * M_inv_c;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:601:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/model.hpp:592:29: required from ‘void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]’
592 | optim.nr_beta_gaussian();
| ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27: required from ‘Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> [with auto:102 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]’
1833 | [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable ‘n’ [-Wunused-variable]
883 | int n = model.data.y.size();
| ^
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/model.hpp:592:29: required from ‘void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
592 | optim.nr_beta_gaussian();
| ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27: required from ‘Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> [with auto:102 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]’
1833 | [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable ‘n’ [-Wunused-variable]
883 | int n = model.data.y.size();
| ^
../inst/include/glmmr/modeloptim.hpp: In instantiation of ‘void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’:
../inst/include/glmmr/model.hpp:592:29: required from ‘void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’
592 | optim.nr_beta_gaussian();
| ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27: required from ‘Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> [with auto:102 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]’
1833 | [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2782:26: required by substitution of ‘template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]’
2782 | std::declval<_Fn>()(std::declval<_Args>()...)
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable ‘n’ [-Wunused-variable]
883 | int n = model.data.y.size();
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:19: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
432 | MatrixTypeRef lu = MatrixType::Map(lu_data,rows, cols, OuterStride<>(luStride));
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<-1, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<-1, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<-1, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<-1, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<-1, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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<-1, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:39: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
432 | MatrixTypeRef lu = MatrixType::Map(lu_data,rows, cols, OuterStride<>(luStride));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:31: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
463 | BlockType A_0 = lu.block(0,0,rows,k);
| ~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
463 | BlockType A_0 = lu.block(0,0,rows,k);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
463 | BlockType A_0 = lu.block(0,0,rows,k);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:16: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
483 | A_0.row(i).swap(A_0.row(piv));
| ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 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-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 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-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:37: required from here
692 | logl = (y*mu.log() - mu-lf1).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:41: required from here
698 | logl = (y * mu - mu.exp() - lf1).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:53: required from here
708 | logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:51: required from here
711 | logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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<Eigen::internal::scalar_exp_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:78: required from here
734 | logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:75: required from here
742 | logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:90: required from here
773 | logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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-devel-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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:86: required from here
777 | logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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-devel-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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:817:35: required from here
817 | logl = (mu - y * mu.exp()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
323 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: 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]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: 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]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: 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]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, false>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
323 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
324 | Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, false>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
325 | Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Matrix<double, -1, -1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:909:80: required from here
909 | dmat_matrix.block(0,0,blocksize,blocksize).noalias() = get_chol_block(b);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:914:127: required from here
914 | zquad.segment(0,blocksize).noalias() = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; 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::Transpose<Eigen::Matrix<double, -1, 1> >; 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::Transpose<Eigen::Matrix<double, -1, 1> >, 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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:915:84: required from here
915 | size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
| ~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; 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::Transpose<Eigen::Matrix<double, -1, 1> >; 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::Transpose<Eigen::Matrix<double, -1, 1> >, 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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:915:84: required from here
915 | size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
| ~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:919:34: required from here
919 | loglik_val = size_B_array.sum();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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::Block<const 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-devel-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::Block<const 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-devel-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::Block<const 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-devel-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::Block<const 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-devel-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<const 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-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1110:32: required from here
1110 | double qf = vmat.col(i).dot(umat.col(i));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::CwiseBinaryOp<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>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; 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::CwiseBinaryOp<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> > >; 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::CwiseBinaryOp<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>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; int Options = 0; XprType = 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>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:64: required from here
388 | ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; 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::CwiseBinaryOp<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> > >; 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::CwiseBinaryOp<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>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; int Options = 0; XprType = 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>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:64: required from here
388 | ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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_log_op<double>, const Eigen::ArrayWrapper<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-devel-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_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:155:32: required from here
155 | return Dvec.array().log().sum();
| ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<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-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:172:58: required from here
172 | double qf = (M.array() * ar_factor_inverse.array()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::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::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-devel-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::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-devel-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::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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1288:38: required from here
1288 | grad(0) += (d0prod * resid_w).sum();
| ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, 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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1291:48: required from here
1291 | hess(0, 0) += (d0prod * d0prod * w_arr).sum();// - d2prod * resid_w).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:70: required from here
1310 | current_ll_var.second = (ll_current.col(1) - ll_current.col(1).mean()).square().sum() / (ll_current.col(1).size() - 1);
| ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:86: required from here
1310 | current_ll_var.second = (ll_current.col(1) - ll_current.col(1).mean()).square().sum() / (ll_current.col(1).size() - 1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:79:51: required from ‘void glmmr::RandomEffects<modeltype>::update_zu(bool) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’
79 | double llprior = -0.5 * scaled_u_.col(i).dot(u_solve_.col(i));
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:117:15: required from ‘void glmmr::Model<modeltype>::update_theta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
117 | re.update_zu(weighted);
| ~~~~~~~~~~~~^~~~~~~~~~
model_module.cpp:1019:24: required from here
1019 | ptr->update_theta(theta);
| ~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1047:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22: required from here
2124 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22: required from here
2124 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:313:10: 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]’
313 | ColXpr x(this->col(p));
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 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-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 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-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:25: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
| ~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:130: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
400 | lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
400 | lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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 = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
520 | matrixL().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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 = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
520 | matrixL().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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 = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
520 | matrixL().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, 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-devel-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, 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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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, 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-devel-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, 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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: 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]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:71: required from here
147 | double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:71: required from here
147 | double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = 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> > >]’
84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:185:74: required from here
185 | Dvec(i) = val - (A.col(i).head(idxlim).transpose() * Sv.head(idxlim))(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; 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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:133: required from here
430 | for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; 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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:133: required from here
430 | for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<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-devel-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::Block<Eigen::Array<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-devel-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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:363:93: required from ‘double glmmr::ModelOptim<modeltype>::saem_average(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
363 | ll_t = ll_t + gamma*(ll_current.col(col).segment(lower_range, re.mcmc_block_size).mean() - ll_t);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:457:36: required from here
457 | if(control.saem)ll = saem_average(1);
| ~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Product<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Product<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-devel-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::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-devel-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::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::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::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-devel-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::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::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-devel-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::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);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1349:84: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1349 | double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-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::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-devel-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::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-devel-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::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-devel-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::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::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::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-devel-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::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::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-devel-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::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);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1349:84: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1349 | double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, 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-devel-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_square_op<double>, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, 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-devel-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_square_op<double>, 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-devel-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_square_op<double>, 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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1361:56: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1361 | sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:895:72: required from ‘Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::residuals(int, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
895 | std_dev = sqrt((resids.col(i).array() - colmeans(i)).square().sum()/(resids.rows() - 1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1790:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:98)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22: required from here
1792 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:112:43: required from here
112 | matrix.rightCols(numCols-colToRemove);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; 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-devel-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, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:51:59: required from here
51 | Xdata.col(calc.data_count) = data.col(column_index);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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 = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
520 | matrixL().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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 = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
520 | matrixL().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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 = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
165 | actualPanelWidth, actual_kc, 0, blockBOffset);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
520 | matrixL().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, 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]’
162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; 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-devel-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 = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25: required from ‘void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
521 | matrixU().solveInPlace(bAndX);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22: required from here
61 | matL.solveInPlace(x);
| ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: 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]’
232 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, 1>; 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-devel-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::Matrix<double, -1, 1>; 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-devel-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::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-devel-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::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; 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-devel-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::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/covariance.hpp:914:94: required from here
914 | zquad.segment(0,blocksize).noalias() = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:924:24: required from here
924 | double quad = v.dot(u);
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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<const 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-devel-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<const 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::Block<const 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-devel-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<const 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-devel-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<const 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-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1110:32: required from here
1110 | double qf = vmat.col(i).dot(umat.col(i));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; 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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 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-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 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-devel-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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<const 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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1120:50: required from here
1120 | grad_j += 0.5 * uweight(i) * (umat.col(i).dot(S[j] * vmat.col(i)));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, 1>, -1, 1, false>; SrcXprType = 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-devel-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::Array<double, -1, 1>, -1, 1, false>; Src = 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-devel-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::Array<double, -1, 1>, -1, 1, false>; Src = 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-devel-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::Array<double, -1, 1>, -1, 1, false>; Src = 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]’
41 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1139:33: required from here
1139 | gradients.tail(grad.size()) = grad;
| ^~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:834:128: required from ‘struct Eigen::internal::diagonal_product_evaluator_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>, 2>’
834 | CoeffReadCost = int(NumTraits<Scalar>::MulCost) + int(evaluator<MatrixType>::CoeffReadCost) + int(evaluator<DiagonalType>::CoeffReadCost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:948:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>’
948 | struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DenseShape, DiagonalShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; 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-devel-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>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1247:25: required from here
1247 | MatrixXd Phi_d0 = Phi * lambda_deriv.matrix().col(0).asDiagonal();
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:49)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22: required from here
1154 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>’
68 | class InverseImpl
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >’
43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; int Size = -1]’
28 | result = matrix.partialPivLu().inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Inverse<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-devel-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::Inverse<Eigen::Matrix<double, -1, -1> >; 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-devel-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::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
model_module.cpp:1202:70: required from here
1202 | MatrixXd info_inv = ptr->model.covariance.infomat_theta.inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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-devel-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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:168:117: required from ‘void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
168 | current_ll_var.first = (ll_current.col(0).tail(eval_size) - ll_current.col(0).tail(eval_size).mean()).square().sum() / (eval_size - 1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1262:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:56)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1270:13: required from here
1270 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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_square_op<double>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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_square_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_square_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-devel-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_square_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-devel-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_square_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>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:812:75: required from ‘void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
812 | if(trace > 1)Rcpp::Rcout << "\nESS: " << 1.0 / re.u_weight_.square().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24: required from here
2060 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24: required from here
2060 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<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-devel-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1505:49: required from ‘Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
1505 | diff = ((weights-weightsnew).abs()).maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:2320:48: required from here
2320 | Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52: required from here
436 | xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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 = 1; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-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 = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: 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]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: 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]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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>, 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-devel-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>; 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-devel-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>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:387:22: required from here
387 | VectorXd uquad = u * L;
| ~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:71: required from here
427 | A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:71: required from here
427 | A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:215: required from here
428 | for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 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-devel-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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = 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-devel-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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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-devel-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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57: required from here
280 | double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >; Scalar = double]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const 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-devel-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::Map<const 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >; Scalar = double]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >; Scalar = double]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73: required from here
333 | grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >]’
455 | scaleAndAddTo(dst,lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >]’
455 | scaleAndAddTo(dst,lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::MatrixWrapper<Eigen::Array<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::Array<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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<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-devel-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::MatrixWrapper<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-devel-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::MatrixWrapper<Eigen::Array<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1198:115: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:63)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22: required from here
1363 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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())
| ^
model_module.cpp:1472:51: required from here
1472 | Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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())
| ^
model_module.cpp:1472:51: required from here
1472 | Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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())
| ^
model_module.cpp:1472:51: required from here
1472 | Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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())
| ^
model_module.cpp:1472:51: required from here
1472 | Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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_min_op<double, double, 0>; 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-devel-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_min_op<double, double, 0>; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
433 | return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return minCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:757:57: required from ‘void glmmr::Model<modeltype>::check_for_errors(const std::string&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>]’
757 | diagnostics << "y range: [" << model.data.y.minCoeff() << ", " << model.data.y.maxCoeff() << "]" << std::endl;
| ~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1662:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1664:13: required from here
1664 | std::visit(functor, model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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_min_op<double, double, 0>; 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-devel-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_min_op<double, double, 0>; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
433 | return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return minCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:762:53: required from ‘void glmmr::Model<modeltype>::check_for_errors(const std::string&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>]’
762 | diagnostics << "u_ range: [" << re.u_.minCoeff() << ", " << re.u_.maxCoeff() << "]" << std::endl;
| ~~~~~~~~~~~~~~^~
model_module.cpp:1662:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:90)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1664:13: required from here
1664 | std::visit(functor, model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_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-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, 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-devel-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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:1310:47: required from ‘void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1310 | diff = (b - bnew).array().abs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1801:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<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-devel-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::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<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-devel-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::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:123)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:123)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:123)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:123)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:123)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25: required from here
2155 | auto S_re = std::visit(functor_re,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<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_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; 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::Transpose<Eigen::Matrix<double, -1, 1> >; 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::Transpose<Eigen::Matrix<double, -1, 1> >, 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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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-devel-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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:915:84: required from here
915 | size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
| ~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, 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::CwiseBinaryOp<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> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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> > > >, 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-devel-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::CwiseBinaryOp<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> > > >, 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-devel-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::CwiseBinaryOp<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>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; 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::CwiseBinaryOp<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> > >; 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::CwiseBinaryOp<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>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; int Options = 0; XprType = 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>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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>; int Option = 0; Scalar = double]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:64: required from here
388 | ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:71: required from here
427 | A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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> >, 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-devel-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> >, 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-devel-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> >, 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-devel-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> >, 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-devel-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> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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())
| ^
../inst/include/glmmr/modeloptim.hpp:1339:36: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1339 | MatrixXd XWX = X.transpose() * XW;
| ~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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())
| ^
../inst/include/glmmr/modeloptim.hpp:1339:36: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1339 | MatrixXd XWX = X.transpose() * XW;
| ~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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())
| ^
../inst/include/glmmr/modeloptim.hpp:1339:36: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1339 | MatrixXd XWX = X.transpose() * XW;
| ~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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, 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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 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-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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())
| ^
../inst/include/glmmr/modeloptim.hpp:1339:36: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1339 | MatrixXd XWX = X.transpose() * XW;
| ~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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::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-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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::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-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<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-devel-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::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::Matrix<double, -1, -1>, 0>, 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-devel-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::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::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1>, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<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-devel-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::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::Matrix<double, -1, -1>, 0>, 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-devel-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::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::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1>, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<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::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<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-devel-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::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::Matrix<double, -1, -1>, 0>, 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-devel-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::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::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1>, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-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::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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<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-devel-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::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::Matrix<double, -1, -1>, 0>, 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-devel-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::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::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1>, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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, true>, const Eigen::Block<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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<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-devel-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, true>, const Eigen::Block<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-devel-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, true>, const Eigen::Block<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-devel-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, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:79:51: required from ‘void glmmr::RandomEffects<modeltype>::update_zu(bool) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]’
79 | double llprior = -0.5 * scaled_u_.col(i).dot(u_solve_.col(i));
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:117:15: required from ‘void glmmr::Model<modeltype>::update_theta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]’
117 | re.update_zu(weighted);
| ~~~~~~~~~~~~^~~~~~~~~~
model_module.cpp:1019:24: required from here
1019 | ptr->update_theta(theta);
| ~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Func = Eigen::internal::add_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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >]’
469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
| ~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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())
| ^
model_module.cpp:1472:51: required from here
1472 | Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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())
| ^
model_module.cpp:1472:51: required from here
1472 | Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<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-devel-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::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Block<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::Matrix<double, -1, 1>, const Eigen::Block<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-devel-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::Block<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-devel-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::Block<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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>; 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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1370:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:99)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13: required from here
1803 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1047:31: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1047 | Pr_sqnorm = Pr.squaredNorm();
| ~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::ArrayWrapper<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-devel-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::ArrayWrapper<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-devel-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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1143:48: required from ‘void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]’
1143 | double max_step = step.array().abs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:596:30: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22: required from here
2017 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22: required from here
2017 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22: required from here
2017 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 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-devel-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::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = 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-devel-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::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22: required from here
2017 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<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, 1, -1, -1> >, const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<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, 1, -1, -1> >, const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::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-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 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-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = 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-devel-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::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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 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-devel-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::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = 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-devel-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::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 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-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = 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-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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>, 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-devel-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>, 0>; 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-devel-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>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
483 | A_0.row(i).swap(A_0.row(piv));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-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>, 2, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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>, 2, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 2, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 2, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 2, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 2, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/calculator.hpp:1297:35: required from here
1297 | VectorXd Hmean = H.rowwise().sum();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 2, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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 = 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
681 | m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]’
437 | kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Functor = assign_op<double, double>]’
785 | dense_assignment_loop<Kernel>::run(kernel);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; 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-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/calculator.hpp:1297:35: required from here
1297 | VectorXd Hmean = H.rowwise().sum();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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())
| ^
../inst/include/glmmr/covariance.hpp:69:14: required from here
69 | return Z * matL.matrixL();
| ~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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())
| ^
../inst/include/glmmr/covariance.hpp:69:14: required from here
69 | return Z * matL.matrixL();
| ~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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())
| ^
../inst/include/glmmr/covariance.hpp:69:14: required from here
69 | return Z * matL.matrixL();
| ~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
333 | if (rs>0) A21 /= x;
| ~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; 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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: 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]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; 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-devel-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>; Rhs = 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-devel-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>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; 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-devel-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>; Rhs = 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-devel-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>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; 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-devel-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>; Rhs = 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-devel-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>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::Transpose<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-devel-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>, 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-devel-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>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15: required from here
302 | return As * As.transpose();
| ~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:71: required from here
147 | double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
530 | return derived().coeff(0,0);
| ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _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-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
683 | return LDLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64: required from here
184 | A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const 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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; 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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:185:74: required from here
185 | Dvec(i) = val - (A.col(i).head(idxlim).transpose() * Sv.head(idxlim))(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Transpose<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-devel-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::Transpose<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_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<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-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; 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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
145 | return internal::evaluator<Derived>(derived()).coeff(index);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:133: required from here
430 | for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/ar1covariance.hpp:131:38: required from here
131 | MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-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<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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())
| ^
../inst/include/glmmr/ar1covariance.hpp:171:30: required from here
171 | MatrixXd M = U.transpose() * W;
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true> >’:
/home/hornik/tmp/R.check/r-devel-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, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Map<const 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-devel-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::Map<const 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-devel-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::Map<const 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-devel-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::Map<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >; Scalar = double]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64: required from here
322 | grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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())
| ^
../inst/include/glmmr/modeloptim.hpp:1339:36: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1339 | MatrixXd XWX = X.transpose() * XW;
| ~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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())
| ^
../inst/include/glmmr/modeloptim.hpp:1339:36: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1339 | MatrixXd XWX = X.transpose() * XW;
| ~~~~~~~~~~~~~~^~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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::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-devel-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::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-devel-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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<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-devel-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::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::Matrix<double, -1, -1>, 0>, 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-devel-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::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::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1>, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-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::CwiseBinaryOp<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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Product<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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<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-devel-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::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::Matrix<double, -1, -1>, 0>, 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-devel-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::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::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1>, 0>, 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]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/modeloptim.hpp:1341:35: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1341 | MatrixXd U = -1.0* XW * XWX * XW.transpose();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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-devel-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::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::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-devel-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::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-devel-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::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-devel-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::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-devel-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::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::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::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-devel-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::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::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-devel-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::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);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1349:84: required from ‘void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]’
1349 | double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1311:20: required from here
1311 | calculate_var_par();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -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-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13: required from here
1318 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; 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);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1104:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:102)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13: required from here
1835 | std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22: required from here
2017 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22: required from here
2028 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::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::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::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::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-devel-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::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::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-devel-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::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::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-devel-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::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::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-devel-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::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::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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22: required from here
2039 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:2793:60: required from ‘struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2793 | using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/15/type_traits:2798:12: required from ‘struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
2798 | struct __invoke_result
| ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:3285:12: required from ‘struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>’
3285 | struct invoke_result
| ^~~~~~~~~~~~~
/usr/include/c++/15/variant:1129:14: required from ‘constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long unsigned int, 0, 1, 2, 3, 4>]’
1129 | return __same_types<
| ^~~~~~~~~~~~~
1130 | invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1131 | >;
| ~
/usr/include/c++/15/variant:1944:44: required from ‘constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]’
1943 | constexpr bool __visit_rettypes_match = __detail::__variant::
| ~~~~~~~~~~~~~~~~~~~~~
1944 | __check_visitor_results<_Visitor, _Vp>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1945 | make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24: required from here
2075 | auto S = std::visit(functor,model.ptr);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52: required from here
136 | const SelfAdjointEigenSolver<MatrixXd> solver(mat);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
274 | evaluator<Rhs> rhsEval(rhs);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’
329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
400 | lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
400 | lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
400 | lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
439 | return unblocked_lu(lu, row_transpositions, nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
495 | A22.noalias() -= A21 * A12;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
328 | compute();
| ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56: required from here
444 | pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, 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-devel-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::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; 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-devel-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::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
../inst/include/glmmr/covariance.hpp:53:22: required from here
53 | return matL.solve(x);
| ~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, Eigen::TriangularView<const Eigen::Matrix<double, -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())
| ^
../inst/include/glmmr/covariance.hpp:69:14: required from here
69 | return Z * matL.matrixL();
| ~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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 = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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())
| ^
../inst/include/glmmr/covariance.hpp:73:27: required from here
73 | return matL.matrixL() * Z;
| ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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())
| ^
../inst/include/glmmr/covariance.hpp:73:27: required from here
73 | return matL.matrixL() * Z;
| ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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())
| ^
../inst/include/glmmr/covariance.hpp:73:27: required from here
73 | return matL.matrixL() * Z;
| ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-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 = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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-devel-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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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::TriangularView<const Eigen::Matrix<double, -1, -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())
| ^
../inst/include/glmmr/covariance.hpp:73:27: required from here
73 | return matL.matrixL() * Z;
| ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: 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]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Transpose<const 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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: 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]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: 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]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17: required from here
83 | matL.compute(matD);
| ~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-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::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-devel-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>, 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-devel-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>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-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>, 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())
| ^
../inst/include/glmmr/covariance.hpp:1125:27: required from here
1125 | MatrixXd Sprod = S[j] * S[k];
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<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-devel-gcc/Work/build/Packages/