* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘galamm’ ...
** this is package ‘galamm’ version ‘0.4.0’
** package ‘galamm’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-14 (Debian 14.3.0-10) 14.3.0’
using C++17
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSSiMS4/R.INSTALL824d3544a408/galamm/src'
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
64 | T obj ;
| ^~~
RcppExports.cpp:20:85: required from here
20 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type y(ySEXP);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
64 | T obj ;
| ^~~
RcppExports.cpp:20:85: required from here
20 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type y(ySEXP);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
64 | T obj ;
| ^~~
RcppExports.cpp:20:85: required from here
20 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type y(ySEXP);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
64 | T obj ;
| ^~~
RcppExports.cpp:22:85: required from here
22 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type X(XSEXP);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
64 | T obj ;
| ^~~
RcppExports.cpp:22:85: required from here
22 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type X(XSEXP);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>’
148 | class SparseMapBase<Derived,WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix<double>’
32 | class MappedSparseMatrix
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter<Eigen::MappedSparseMatrix<double> >’
64 | T obj ;
| ^~~
RcppExports.cpp:23:93: required from here
23 | Rcpp::traits::input_parameter< const Eigen::MappedSparseMatrix<double> >::type Zt(ZtSEXP);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c compute_galamm.cpp -o compute_galamm.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from data.h:4,
from compute_galamm.cpp:2:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/autodiff/forward/utils/gradient.hpp:35,
from ../inst/include/autodiff/forward/dual/eigen.hpp:37,
from data.h:6:
../inst/include/autodiff/common/classtraits.hpp:56:39: warning: unnecessary parentheses in declaration of ‘f’ [-Wparentheses]
56 | template<typename C> static char ((&f(decltype(&C::value))))[1];
| ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/autodiff/common/classtraits.hpp:56:39: note: remove parentheses
56 | template<typename C> static char ((&f(decltype(&C::value))))[1];
| ^~~~~~~~~~~~~~~~~~~~~~~~~
| - -
../inst/include/autodiff/common/classtraits.hpp:57:39: warning: unnecessary parentheses in declaration of ‘f’ [-Wparentheses]
57 | template<typename C> static char ((&f(...)))[2];
| ^~~~~~~~~
../inst/include/autodiff/common/classtraits.hpp:57:39: note: remove parentheses
57 | template<typename C> static char ((&f(...)))[2];
| ^~~~~~~~~
| - -
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
data.h:16:5: required from here
16 | ) :
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
data.h:16:5: required from here
16 | ) :
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
data.h:16:5: required from here
16 | ) :
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
compute_galamm.cpp:444:1: required from here
444 | ){
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
compute_galamm.cpp:444:1: required from here
444 | ){
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>’
148 | class SparseMapBase<Derived,WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix<double>’
32 | class MappedSparseMatrix
| ^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:444:1: required from here
444 | ){
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’:
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:98:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
compute_galamm.cpp:117:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
117 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::ArrayWrapper<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_pow_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::ArrayWrapper<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::ArrayWrapper<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:123:70: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’
123 | Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
compute_galamm.cpp:123:74: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’
123 | Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:128:25: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’
128 | parlist.u += step * delta_u;
| ~~~~~^~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’:
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:131:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
131 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >’
513 | typedef typename _CastType::Scalar NewScalarType;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >::CastXpr<double>’
48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
misc.h:191:54: required from ‘Rcpp::List create_result(Functor1, Functor2, parameters<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >&, bool) [with Functor1 = wrapper<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool)::<lambda(parameters<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >&)>; Functor2 = wrapper<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool)::<lambda(parameters<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >&)>; Rcpp::List = Rcpp::Vector<19>]’
191 | Rcpp::Named("u") = extras.u.template cast<double>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:313:23: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
313 | return create_result(fx, gx, parlist, reduced_hessian);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]’:
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28: required from here
453 | return wrapper<dual1st>(
| ~~~~~~~~~~~~~~~~^
454 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
456 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
457 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:98:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
compute_galamm.cpp:117:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
117 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
compute_galamm.cpp:131:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
131 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
513 | typedef typename _CastType::Scalar NewScalarType;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<double>’
48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
data.h:17:16: required from ‘data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
17 | y { y.cast<T>() }, trials { trials.cast<T>() }, X { X.cast<T>() },
| ~~~~~~~~~^~
compute_galamm.cpp:279:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
279 | data<T> datlist{y, trials, X, Zt};
| ^~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
513 | typedef typename _CastType::Scalar NewScalarType;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<double>’
48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
data.h:17:64: required from ‘data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
17 | y { y.cast<T>() }, trials { trials.cast<T>() }, X { X.cast<T>() },
| ~~~~~~~~~^~
compute_galamm.cpp:279:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
279 | data<T> datlist{y, trials, X, Zt};
| ^~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<double, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int> > >’
513 | typedef typename _CastType::Scalar NewScalarType;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<double>’
48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
data.h:18:18: required from ‘data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
18 | Zt { Zt.cast<T>() }
| ~~~~~~~~~~^~
compute_galamm.cpp:279:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
279 | data<T> datlist{y, trials, X, Zt};
| ^~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
parameters.h:57:42: required from ‘parameters<T>::parameters(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXi&, const int&, const double&, const int&) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
57 | WSqrt.diagonal() = Vdual<T>::Constant(n, 1);
| ~~~~~~~~~~~~~~~~~~^~~~~~
compute_galamm.cpp:281:17: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
281 | parameters<T> parlist{
| ^~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’:
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:98:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
compute_galamm.cpp:99:77: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
99 | Vdual<T> upd = modvec[k]->get_V(lp, datlist.trials, parlist.WSqrt).array() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >’
513 | typedef typename _CastType::Scalar NewScalarType;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >::CastXpr<double>’
48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >::cast() const [with NewType = double]’
62 | cast() const
| ^~~~
compute_galamm.cpp:100:69: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
100 | (parlist.family_mapping.array() == k).array().template cast<T>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:99:80: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
99 | Vdual<T> upd = modvec[k]->get_V(lp, datlist.trials, parlist.WSqrt).array() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
100 | (parlist.family_mapping.array() == k).array().template cast<T>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’:
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:117:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
117 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:123:70: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
123 | Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:123:87: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
123 | Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
| ~~~~~~~~~~~^~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
compute_galamm.cpp:123:103: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
123 | Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:123:74: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
123 | Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2, Eigen::Sparse>’
145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
compute_galamm.cpp:124:45: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
compute_galamm.cpp:124:58: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:124:79: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
compute_galamm.cpp:124:27: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
compute_galamm.cpp:128:25: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
128 | parlist.u += step * delta_u;
| ~~~~~^~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’:
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:131:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
131 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >’
27 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::SparseMatrix<double, 0, int> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::SparseMatrix<double, 0, int> >; _Scalar = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; int _Options = 0; _StorageIndex = int]’
687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
data.h:18:3: required from ‘data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
18 | Zt { Zt.cast<T>() }
| ^~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:279:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
279 | data<T> datlist{y, trials, X, Zt};
| ^~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/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 compute_galamm.cpp:6:
update_funs.h: In instantiation of ‘void update_Zt(SpMdual<T>&, Vdual<T>&, const std::vector<std::vector<int> >&, const std::vector<std::vector<double> >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; SpMdual<T> = Eigen::SparseMatrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, 0, int>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>]’:
compute_galamm.cpp:89:12: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’
89 | update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:117:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
117 | for(size_t k{}; k < Zt.outerSize(); ++k){
| ~~^~~~~~~~~~~~~~~~
update_funs.h: In instantiation of ‘void update_X(Mdual<T>&, Vdual<T>&, const Eigen::VectorXi&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Mdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, -1, 0, -1, -1>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’:
compute_galamm.cpp:90:11: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’
90 | update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:64:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<int, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
64 | for(size_t i{}; i < lambda_mapping_X.size(); i++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, 0, int>, 1, Eigen::AMDOrdering<int> >]’:
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28: required from here
447 | return wrapper<dual2nd>(
| ~~~~~~~~~~~~~~~~^
448 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
450 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
451 | maxit_conditional_modes, lossvalue_tol, reduced_hessian);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
update_funs.h: In instantiation of ‘void update_Zt(SpMdual<T>&, Vdual<T>&, const std::vector<std::vector<int> >&, const std::vector<std::vector<double> >&) [with T = autodiff::detail::Dual<double, double>; SpMdual<T> = Eigen::SparseMatrix<autodiff::detail::Dual<double, double>, 0, int>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, 1, 0, -1, 1>]’:
compute_galamm.cpp:89:12: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]’
89 | update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28: required from here
453 | return wrapper<dual1st>(
| ~~~~~~~~~~~~~~~~^
454 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
456 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
457 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:117:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
117 | for(size_t k{}; k < Zt.outerSize(); ++k){
| ~~^~~~~~~~~~~~~~~~
update_funs.h: In instantiation of ‘void update_X(Mdual<T>&, Vdual<T>&, const Eigen::VectorXi&) [with T = autodiff::detail::Dual<double, double>; Mdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, -1, 0, -1, -1>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, 1, 0, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’:
compute_galamm.cpp:90:11: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]’
90 | update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28: required from here
453 | return wrapper<dual1st>(
| ~~~~~~~~~~~~~~~~^
454 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
456 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
457 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:64:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<int, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
64 | for(size_t i{}; i < lambda_mapping_X.size(); i++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = autodiff::detail::Dual<double, double>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, 1, 0, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<autodiff::detail::Dual<double, double>, 0, int>, 1, Eigen::AMDOrdering<int> >]’:
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28: required from here
453 | return wrapper<dual1st>(
| ~~~~~~~~~~~~~~~~^
454 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
455 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
456 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
457 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
update_funs.h: In instantiation of ‘void update_Zt(SpMdual<T>&, Vdual<T>&, const std::vector<std::vector<int> >&, const std::vector<std::vector<double> >&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>; Vdual<T> = Eigen::Matrix<double, -1, 1>]’:
compute_galamm.cpp:89:12: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
89 | update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:117:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare]
117 | for(size_t k{}; k < Zt.outerSize(); ++k){
| ~~^~~~~~~~~~~~~~~~
update_funs.h: In instantiation of ‘void update_X(Mdual<T>&, Vdual<T>&, const Eigen::VectorXi&) [with T = double; Mdual<T> = Eigen::Matrix<double, -1, -1>; Vdual<T> = Eigen::Matrix<double, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’:
compute_galamm.cpp:90:11: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
90 | update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:64:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase<Eigen::Matrix<int, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare]
64 | for(size_t i{}; i < lambda_mapping_X.size(); i++){
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
misc.h:28:20: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double, 0, int>, 1024>’
22 | class SparseTransposeImpl<MatrixType,CompressedAccessBit>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl<const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
misc.h:28:57: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>’
145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
misc.h:28:60: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~^
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
misc.h:29:33: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0, Eigen::Sparse>’
145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
misc.h:60:39: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>’
145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
misc.h:60:43: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>’
145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’:
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for(int k{}; k < modvec.size(); k++){
| ~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
compute_galamm.cpp:54:21: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
54 | ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) -
| ~~~~~~~~^~~~~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
compute_galamm.cpp:61:27: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
61 | solver.vectorD().array().log().sum() / 2;
| ~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
compute_galamm.cpp:61:33: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
61 | solver.vectorD().array().log().sum() / 2;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, long int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:312:36: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long int> > >’
312 | typedef typename Derived::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:60:34: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
60 | return ret - u_eval.squaredNorm() / 2 / phi(0) -
| ~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/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::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; U = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:54:30: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
54 | ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) -
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 1, long int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:312:36: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long int> > >’
312 | typedef typename Derived::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
174 | internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
689 | *this = other.derived();
| ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Sparse>’
121 | struct plain_object_eval<T,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:71:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
174 | internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
689 | *this = other.derived();
| ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>]’
36 | symmat = C + A;
| ~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’
63 | internal::ordering_helper_at_plus_a(mat,symm);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; MatrixType = Eigen::SparseMatrix<double, 0, int>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double, 0, int>*; CholMatrixType = Eigen::SparseMatrix<double, 0, int>]’
671 | ordering(C,m_Pinv);
| ~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:244:7: required from ‘void Eigen::SimplicialCholeskyBase<Derived>::analyzePattern(const MatrixType&, bool) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; MatrixType = Eigen::SparseMatrix<double, 0, int>]’
244 | ordering(a, pmat, tmp);
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:483:27: required from ‘void Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::analyzePattern(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double, 0, int>]’
483 | Base::analyzePattern(a, true);
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
compute_galamm.cpp:108:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
108 | solver.analyzePattern(H);
| ~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:61:39: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
61 | solver.vectorD().array().log().sum() / 2;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 1, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:200:20: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector<Lhs, Rhs, ResultType, 1, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long int>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; ResultType = Eigen::SparseMatrix<double, 0, int>]’
200 | RowMajorMatrix resRow(lhs.rows(), rhs.cols());
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix<double, 0, int>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; int ProductType = 8]’
75 | internal::conservative_sparse_sparse_product_selector<typename remove_all<LhsNested>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | typename remove_all<RhsNested>::type, Dest>::run(lhsNested,rhsNested,dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double, 0, int>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; int ProductType = 8]’
43 | evalTo(dst, lhs, rhs, typename evaluator_traits<Dest>::Shape());
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
174 | internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
689 | *this = other.derived();
| ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:60:34: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
60 | return ret - u_eval.squaredNorm() / 2 / phi(0) -
| ~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:202:9: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector<Lhs, Rhs, ResultType, 1, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long int>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; ResultType = Eigen::SparseMatrix<double, 0, int>]’
202 | res = resRow;
| ~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
174 | internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
689 | *this = other.derived();
| ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; U = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:54:30: required from ‘T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
54 | ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) -
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:111:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
111 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 5> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 0, int>, 5, Eigen::Sparse>’
25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 5>’
187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
178 | derived().matrixL().solveInPlace(dest);
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
278 | typedef typename DiagonalVectorType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6, Eigen::Sparse>’
25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6>’
187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]’
184 | derived().matrixU().solveInPlace(dest);
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:187:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
174 | internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
689 | *this = other.derived();
| ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28: required from ‘SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]’
60 | return parlist.Lambdat * datlist.Zt * V *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | datlist.Zt.transpose() * parlist.Lambdat.transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
107 | SpMdual<T> H = inner_hessian(parlist, datlist, V);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
misc.h:28:35: required from ‘Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
28 | return datlist.X * parlist.beta + datlist.Zt.transpose() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
29 | parlist.Lambdat.transpose() * parlist.u;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
93 | Vdual<T> lp = linpred(parlist, datlist);
| ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]’
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13: required from ‘logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]’
124 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]’
306 | auto lll = logLik(parlist, datlist, mod);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27: required from here
459 | return wrapper<double>(
| ~~~~~~~~~~~~~~~^
460 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
461 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
462 | weights, weights_mapping, family, family_mapping, k,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
463 | maxit_conditional_modes, lossvalue_tol);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
model.h:156:31: required from ‘T Poisson<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
156 | return linpred.array().exp().sum();
| ~~~~~~~~~~~~~~~~~~~^~
model.h:154:5: required from here
154 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:69:16: required from ‘T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum();
| ~~~^~~~~~~~~~~~~~~~~~~~~~~~
model.h:67:5: required from here
67 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
model.h:69:44: required from ‘T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:67:5: required from here
67 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:69:47: required from ‘T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
model.h:67:5: required from here
67 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:77:34: required from ‘Vdual<T> Binomial<T>::meanfun(Vdual<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
77 | return linpred.array().exp() / (1 + linpred.array().exp()) * trials.array();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:75:12: required from here
75 | Vdual<T> meanfun(const Vdual<T>& linpred,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:77:64: required from ‘Vdual<T> Binomial<T>::meanfun(Vdual<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]’
77 | return linpred.array().exp() / (1 + linpred.array().exp()) * trials.array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
model.h:75:12: required from here
75 | Vdual<T> meanfun(const Vdual<T>& linpred,
| ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:84:49: required from ‘Vdual<T> Binomial<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
84 | return meanfun(linpred, trials).array() / trials.array() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
model.h:80:12: required from here
80 | Vdual<T> get_V(
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:85:29: required from ‘Vdual<T> Binomial<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
85 | (trials.array() - meanfun(linpred, trials).array());
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:80:12: required from here
80 | Vdual<T> get_V(
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:84:66: required from ‘Vdual<T> Binomial<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
84 | return meanfun(linpred, trials).array() / trials.array() *
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
85 | (trials.array() - meanfun(linpred, trials).array());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:80:12: required from here
80 | Vdual<T> get_V(
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
model.h:125:44: required from ‘Vdual<T> Gaussian<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
125 | return WSqrt.diagonal().array().pow(2);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model.h:123:12: required from here
123 | Vdual<T> get_V(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
model.h:112:43: required from ‘T Gaussian<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
112 | return weighted.squaredNorm() / 2;
| ~~~~~~~~~~~~~~~~~~~~^~
model.h:109:5: required from here
109 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:156:37: required from ‘T Poisson<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
156 | return linpred.array().exp().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:154:5: required from here
154 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:69:68: required from ‘T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:67:5: required from here
67 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:112:43: required from ‘T Gaussian<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]’
112 | return weighted.squaredNorm() / 2;
| ~~~~~~~~~~~~~~~~~~~~^~
model.h:109:5: required from here
109 | T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
| ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -Wl,-O1 -o galamm.so RcppExports.o compute_galamm.o -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSSiMS4/R.INSTALL824d3544a408/galamm/src'
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSSiMS4/R.INSTALL824d3544a408/galamm/src'
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSSiMS4/R.INSTALL824d3544a408/galamm/src'
installing to /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/00LOCK-galamm/00new/galamm/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘galamm’
finding HTML links ... done
VarCorr html
anova.galamm html
appraise.galamm html
coef.galamm html
cognition html
confint.galamm html
derivatives.galamm html
deviance.galamm html
diet html
draw.galamm html
epilep html
extract_optim_parameters.galamm html
factor_loadings.galamm html
family.galamm html
fitted.galamm html
fixef html
formula.galamm html
galamm-package html
galamm html
galammObject html
galamm_control html
gfam html
hsced html
latent_covariates html
latent_covariates_long html
lifespan html
llikAIC html
logLik.galamm html
model.frame.galamm html
mresp html
mresp_hsced html
nobs.galamm html
plot.galamm html
plot_smooth.galamm html
predict.galamm html
print.VarCorr.galamm html
print.galamm html
print.summary.galamm html
qqmath.galamm html
ranef.galamm html
residuals.galamm html
response html
sigma.galamm html
sl html
summary.galamm html
t2l html
vcov.galamm html
*** 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 (galamm)