downloading reverse dependencies ...
downloading tsintermittent_1.10.tar.gz ... ok
downloading tsutils_0.9.4.tar.gz ... ok

installing dependencies ‘forecast’, ‘MAPA’, ‘thief’

also installing the dependency ‘hts’

begin installing package ‘forecast’
* installing *source* package ‘forecast’ ...
** package ‘forecast’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: ‘gcc-13 (Debian 13.2.0-13) 13.2.0’
using C++ compiler: ‘g++-13 (Debian 13.2.0-13) 13.2.0’
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprW9Jhf/R.INSTALL215ed931f6547b/forecast/src'
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c calcBATS.cpp -o calcBATS.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29,
                 from calcBATS.h:35,
                 from calcBATS.cpp:1:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
calcBATS.cpp: In function ‘SEXPREC* calcBATSFaster(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’:
calcBATS.cpp:91:82: warning: ‘sPeriods’ may be used uninitialized [-Wmaybe-uninitialized]
   91 |                         yHat(0,0) = yHat(0,0) +  xNought( (previousS + sPeriods[i] + adjBeta), 0);
      |                                                                        ~~~~~~~~~~^
calcBATS.cpp:55:60: note: ‘sPeriods’ was declared here
   55 |         int adjBeta, previousS, lengthArma, *tau, *p, *q, *sPeriods;
      |                                                            ^~~~~~~~
calcBATS.cpp:89:38: warning: ‘lengthSeasonal’ may be used uninitialized [-Wmaybe-uninitialized]
   89 |                 for(R_len_t i = 0; i < lengthSeasonal; i++) {
      |                                    ~~^~~~~~~~~~~~~~~~
calcBATS.cpp:56:17: note: ‘lengthSeasonal’ was declared here
   56 |         R_len_t lengthSeasonal;
      |                 ^~~~~~~~~~~~~~
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c calcTBATS.cpp -o calcTBATS.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29,
                 from calcBATS.h:35,
                 from calcTBATS.cpp:1:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c etsTargetFunction.cpp -o etsTargetFunction.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27,
                 from etsTargetFunction.h:3,
                 from etsTargetFunction.cpp:7:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
etsTargetFunction.cpp: In member function ‘void EtsTargetFunction::eval(const double*, int)’:
etsTargetFunction.cpp:87:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   87 |         if(p_par_length != this->par.size()) {
      |            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
etsTargetFunction.cpp:119:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  119 |         for(int i=par.size()-nstate; i < par.size(); i++) {
      |                                      ~~^~~~~~~~~~~~
etsTargetFunction.cpp:147:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  147 |                 for(int i=start; i<state.size(); i++) {
      |                                  ~^~~~~~~~~~~~~
etsTargetFunction.cpp:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  163 |         for(int i=0; i <= p*this->y.size(); i++) state.push_back(0);
      |                      ~~^~~~~~~~~~~~~~~~~~~
etsTargetFunction.cpp: In member function ‘bool EtsTargetFunction::admissible()’:
etsTargetFunction.cpp:298:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  298 |                 for(int i=0;i<zeror.size();i++) {
      |                             ~^~~~~~~~~~~~~
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c etsTargetFunctionWrapper.cpp -o etsTargetFunctionWrapper.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27,
                 from etsTargetFunctionWrapper.cpp:10:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
gcc-13  -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native  -c etscalc.c -o etscalc.o
etscalc.c: In function ‘etssimulate’:
etscalc.c:119:15: warning: variable ‘nstates’ set but not used [-Wunused-but-set-variable]
  119 |     int i, j, nstates;
      |               ^~~~~~~
gcc-13  -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native  -c etspolyroot.c -o etspolyroot.o
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c makeBATSMatrices.cpp -o makeBATSMatrices.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29,
                 from calcBATS.h:35,
                 from makeBATSMatrices.cpp:1:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
makeBATSMatrices.cpp: In function ‘SEXPREC* makeBATSGMatrix(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’:
makeBATSMatrices.cpp:134:56: warning: ‘gammaVector’ may be used uninitialized [-Wmaybe-uninitialized]
  134 |                 gTranspose(0, position) = gammaVector[0];
      |                                           ~~~~~~~~~~~~~^
makeBATSMatrices.cpp:92:17: note: ‘gammaVector’ was declared here
   92 |         double *gammaVector;
      |                 ^~~~~~~~~~~
makeBATSMatrices.cpp:137:72: warning: ‘seasonalPeriods’ may be used uninitialized [-Wmaybe-uninitialized]
  137 |                                 position = position + seasonalPeriods[s];
      |                                                       ~~~~~~~~~~~~~~~~~^
makeBATSMatrices.cpp:93:14: note: ‘seasonalPeriods’ was declared here
   93 |         int *seasonalPeriods, *p, *q;
      |              ^~~~~~~~~~~~~~~
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c makeTBATSMatrices.cpp -o makeTBATSMatrices.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29,
                 from calcBATS.h:35,
                 from makeTBATSMatrices.cpp:1:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
makeTBATSMatrices.cpp: In function ‘SEXPREC* makeTBATSWMatrix(SEXP, SEXP, SEXP, SEXP, SEXP)’:
makeTBATSMatrices.cpp:61:51: warning: ‘tau’ may be used uninitialized [-Wmaybe-uninitialized]
   61 |                         wTranspose(0,(adjustPhi + *tau +i)) = arCoefs[(i-1)];
      |                                                   ^~~~
makeTBATSMatrices.cpp:8:24: note: ‘tau’ was declared here
    8 |         int *kVector, *tau;
      |                        ^~~
gcc-13  -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native  -c registerDynamicSymbol.c -o registerDynamicSymbol.o
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c updateMatrices.cpp -o updateMatrices.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29,
                 from calcBATS.h:35,
                 from updateMatrices.cpp:8:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3  -fopenmp -DR_NO_REMAP -fpic  -g -O2 -Wall -pedantic -mtune=native   -c updateTBATSMatrices.cpp -o updateTBATSMatrices.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29,
                 from calcBATS.h:35,
                 from updateTBATSMatrices.cpp:1:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:26: warning: "R_NO_REMAP" redefined
   26 | #define R_NO_REMAP
      | 
<command-line>: note: this is the location of the previous definition
g++-13 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-13/lib -Wl,-O1 -o forecast.so calcBATS.o calcTBATS.o etsTargetFunction.o etsTargetFunctionWrapper.o etscalc.o etspolyroot.o makeBATSMatrices.o makeTBATSMatrices.o registerDynamicSymbol.o updateMatrices.o updateTBATSMatrices.o -fopenmp -llapack -L/home/hornik/tmp/R-d-gcc-13/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-13/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprW9Jhf/R.INSTALL215ed931f6547b/forecast/src'
installing to /home/hornik/tmp/CRAN/Library/00LOCK-forecast/00new/forecast/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (forecast)
begin installing package ‘hts’
begin installing package ‘MAPA’
* installing *source* package ‘MAPA’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (MAPA)
* installing *source* package ‘hts’ ...
** package ‘hts’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-13 (Debian 13.2.0-13) 13.2.0’
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpK34P1e/R.INSTALL21608ab49e9ca/hts/src'
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
RcppExports.cpp:17:39:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
RcppExports.cpp:17:39:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-13  -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-13/include" -DNDEBUG  -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c cgm_RcppEigen.cpp -o cgm_RcppEigen.o
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25,
                 from cgm_RcppEigen.cpp:2:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
cgm_RcppEigen.cpp:20:39:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
cgm_RcppEigen.cpp:20:39:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from ‘class Eigen::MappedSparseMatrix<double>’
cgm_RcppEigen.cpp:21:16:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
cgm_RcppEigen.cpp:23:25:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from ‘class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from ‘class Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from ‘struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double, 0, int> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from ‘struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double, 0, int> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from ‘class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from ‘class Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >’
cgm_RcppEigen.cpp:24:44:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:41:43:   required from ‘class Eigen::DiagonalPreconditioner<double>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from ‘class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from ‘class Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >’
cgm_RcppEigen.cpp:24:44:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
cgm_RcppEigen.cpp:28:33:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9:   required from ‘void Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16:   required from ‘Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase<OtherDerived>&) [with Derived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:81:5:   required from ‘void Eigen::internal::generic_matrix_wrapper<MatrixType, false>::grab(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:427:25:   required from ‘void Eigen::IterativeSolverBase<Derived>::grab(const InputType&) [with InputType = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:240:9:   required from ‘Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >]’
cgm_RcppEigen.cpp:28:24:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long int; typename Dest::RealScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long int; typename Dest::RealScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:71:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16:   required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long int; typename Dest::RealScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long int; typename Dest::RealScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix<double, 0, int>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9:   required from ‘void Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16:   required from ‘Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase<OtherDerived>&) [with Derived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:81:5:   required from ‘void Eigen::internal::generic_matrix_wrapper<MatrixType, false>::grab(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:427:25:   required from ‘void Eigen::IterativeSolverBase<Derived>::grab(const InputType&) [with InputType = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:240:9:   required from ‘Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >]’
cgm_RcppEigen.cpp:28:24:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:55:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:48:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from /home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long int; typename Dest::RealScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/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]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:55:50:   required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long int; typename Dest::RealScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = add_assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = add_assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, Eigen::Sparse>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:351:53:   required from ‘static void Eigen::internal::generic_product_impl<LhsView, Rhs, Eigen::internal::SparseSelfAdjointShape, Eigen::DenseShape, ProductType>::scaleAndAddTo(Dest&, const LhsView&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; LhsView = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; int ProductType = 7; typename Dest::Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, Eigen::internal::SparseSelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/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::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
cgm_RcppEigen.cpp:28:35:   required from here
/home/hornik/lib/R/Library/4.4/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
g++-13 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-13/lib -Wl,-O1 -o hts.so RcppExports.o cgm_RcppEigen.o -llapack -L/home/hornik/tmp/R-d-gcc-13/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-13/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpK34P1e/R.INSTALL21608ab49e9ca/hts/src'
installing to /home/hornik/tmp/CRAN/Library/00LOCK-hts/00new/hts/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (hts)
begin installing package ‘thief’
* installing *source* package ‘thief’ ...
** package ‘thief’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (thief)

checking MAPA_2.0.7.tar.gz ...
checking tsintermittent_1.10.tar.gz ...
checking tsutils_0.9.4.tar.gz ...

Depends:
Package: MAPA
  Depends: forecast (>= 5.3), parallel, RColorBrewer, smooth (>= 4.0.0)

Timings:
       user system elapsed
MAPA 51.005  5.358  57.871

Results:
Check status summary:
                  OK
  Source packages  1
  Reverse depends  2

Check results summary:
MAPA ... OK
rdepends_tsintermittent ... OK
rdepends_tsutils ... OK