* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’
* installing *source* package ‘multiview’ ...
** package ‘multiview’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-13 (Debian 13.2.0-23) 13.2.0’
using C++17
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpPgHgZ6/R.INSTALL1554a028f9f319/multiview/src'
g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -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/usr/local/include -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -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> >’
/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> >’
/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
/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/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> >’
/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>’
/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
/home/hornik/tmp/R.check/r-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> >’
/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> >’
/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
/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/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> >’
/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>’
/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
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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> >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
/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> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
RcppExports.cpp:26:85: required from here
/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
RcppExports.cpp:26:85: 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::Map<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::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/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> >, 3>’
/home/hornik/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> > >’
/home/hornik/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> > >’
/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>’
/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> >, 1>’
/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> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
RcppExports.cpp:26:85: 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]
/home/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
RcppExports.cpp:29:85: 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]
/home/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>’:
/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> >, 1>’
/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> >, 3>’
/home/hornik/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> > >’
/home/hornik/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> > >’
/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>’
/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> >, 1>’
/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> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
RcppExports.cpp:29:85: 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]
/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::Map<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::Map<Eigen::SparseMatrix<double, 0, int> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
RcppExports.cpp:64:97: required from here
/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;
| ^~~~~~~~~~~~~~~~
g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -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/usr/local/include -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -fpic -g -O2 -Wall -pedantic -mtune=native -c wls_exp.cpp -o wls_exp.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 wls_exp.cpp:2:
/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> >’
/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> >’
/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
/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/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> >’
/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>’
/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
/home/hornik/tmp/R.check/r-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> >’
/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> >’
/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
/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/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> >’
/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>’
/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
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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> >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
/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> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here
/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: 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::Map<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::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/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> >, 3>’
/home/hornik/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> > >’
/home/hornik/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> > >’
/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>’
/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> >, 1>’
/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> >’
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: 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]
/home/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>’
/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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> >’
/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>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: 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]
/home/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>’
/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>’
/home/hornik/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> > >’
/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> > >’
/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> >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: 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]
/home/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> > >’
/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> > >’
/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> >’
/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: 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]
/home/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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: 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]
/home/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>’
/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>’
/home/hornik/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> >’
/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> >’
/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> >’
/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>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: 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]
/home/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> > > >’
/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> > > >’
/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>’
/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> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: 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]
/home/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::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_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_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> > > > >’
/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::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> > > > >’
/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::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> > >, Eigen::Dense>’
/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::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> > > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: 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]
/home/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>’:
/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> >, 1>’
/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> >, 3>’
/home/hornik/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> > >’
/home/hornik/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> > >’
/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>’
/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> >, 1>’
/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> >’
wls_exp.cpp:40:5: 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]
/home/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>’
/home/hornik/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> > >’
/home/hornik/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> > >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
wls_exp.cpp:52:17: 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]
/home/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>’
/home/hornik/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> > >’
/home/hornik/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> > >’
/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>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
wls_exp.cpp:52:17: 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]
/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::Map<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::Map<Eigen::SparseMatrix<double, 0, int> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
wls_exp.cpp:113:5: required from here
/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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from ‘struct glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from ‘struct glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
wls_exp.cpp:125:17: required from here
/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]
/home/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>’
/home/hornik/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> >’
/home/hornik/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> >’
/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>’
/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>’
/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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::ArrayWrapper<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/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
/home/hornik/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::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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const 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/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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]
/home/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::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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const 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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const 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/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
/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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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]
/home/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::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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const 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/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::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/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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]
/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::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’
/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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’
/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::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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]
/home/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::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ 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/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/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::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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;
| ^~~~~~~~~~~~~~~~
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<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/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::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 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/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/hornik/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 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_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const 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/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const 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/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/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::Map<Eigen::Matrix<double, -1, 1> >, const 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/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::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<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]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::compute_grad(const RType&, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: 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]
/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::Map<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::Map<Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/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::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/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::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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::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:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const 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:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/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<const 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::ArrayWrapper<const 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:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ 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/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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::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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
/home/hornik/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<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/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<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/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<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/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, 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 ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:55:24: 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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 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/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/hornik/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::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/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::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/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::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:55:24: 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]
/home/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> > >’
/home/hornik/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> > >’
/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> >’
/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase<ValueType, IndexType, BoolType>::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer<double, int, int>]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:55:24: 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]
/home/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<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/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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/hornik/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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase<ValueType, IndexType, BoolType>::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer<double, int, int>]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:55:24: 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]
/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::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’
/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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:128:24: required from here
/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
/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::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:128:24: required from here
/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]
/home/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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 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/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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/hornik/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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, int>]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:55:24: 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/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: 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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’
/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_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, int>]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:128:24: required from here
/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 ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/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::Map<Eigen::Matrix<double, -1, 1> >, 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]’
/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::Map<Eigen::Matrix<double, -1, 1> >, 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]’
/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::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<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]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::compute_grad(const RType&, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here
/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]
/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<const Eigen::SparseMatrix<double, 0, int>, 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<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62: required from ‘const typename Eigen::SparseMatrixBase<Derived>::CwiseProductDenseReturnType<OtherDerived>::Type Eigen::SparseMatrixBase<Derived>::cwiseProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType<OtherDerived>::Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:128:24: required from here
/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::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<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:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/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::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:55:24: required from here
/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]
/home/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> > >’
/home/hornik/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> > >’
/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> >’
/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::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
/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::Map<Eigen::Matrix<double, -1, 1> >]’
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
wls_exp.cpp:128:24: 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;
| ^~~~~~~~~~~~~~~~
g++-13 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -Wl,-O1 -o multiview.so RcppExports.o wls_exp.o -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpPgHgZ6/R.INSTALL1554a028f9f319/multiview/src'
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpPgHgZ6/R.INSTALL1554a028f9f319/multiview/src'
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpPgHgZ6/R.INSTALL1554a028f9f319/multiview/src'
installing to /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/00LOCK-multiview/00new/multiview/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (multiview)