Developing package with rstan failed to build package error on plaform windows 2022 but can build on linux platform

Developers
,
1

Short summary of the problem
I am developing a package depending on rstan. The package has passed the devtools::check() without error and warning. When checking by devtools::check_rhub(), there is a preperror “Build failed during preparation or aborted” for the windows 2022 platform. I develop the package on MacOS 12.2.1.
The R version is 4.1.2
The rstan version is 2.21.3

devtools::session_info(“rstan”)
─ Session info ──────────────────────────────────────────────────────────────────────
setting value
version R version 4.1.2 (2021-11-01)
os macOS Monterey 12.2.1
system x86_64, darwin17.0
ui RStudio
language (EN)
collate en_GB.UTF-8
ctype en_GB.UTF-8
tz Europe/London
date 2023-02-20
rstudio 2021.09.1+372 Ghost Orchid (desktop)
pandoc NA

─ Packages ──────────────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
backports 1.4.0 2021-11-23 [1] CRAN (R 4.1.0)
BH 1.75.0-0 2021-01-11 [1] CRAN (R 4.1.0)
callr 3.7.0 2021-04-20 [1] CRAN (R 4.1.0)
checkmate 2.0.0 2020-02-06 [1] CRAN (R 4.1.0)
cli 3.6.0 2023-01-09 [1] CRAN (R 4.1.2)
colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.1.0)
crayon 1.4.2 2021-10-29 [1] CRAN (R 4.1.0)
curl 4.3.2 2021-06-23 [1] CRAN (R 4.1.0)
desc 1.4.0 2021-09-28 [1] CRAN (R 4.1.0)
ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.0)
fansi 0.5.0 2021-05-25 [1] CRAN (R 4.1.0)
farver 2.1.0 2021-02-28 [1] CRAN (R 4.1.0)
ggplot2 3.4.0 2022-11-04 [1] CRAN (R 4.1.2)
glue 1.6.2 2022-02-24 [1] CRAN (R 4.1.2)
gridExtra 2.3 2017-09-09 [1] CRAN (R 4.1.0)
gtable 0.3.0 2019-03-25 [1] CRAN (R 4.1.0)
inline 0.3.19 2021-05-31 [1] CRAN (R 4.1.0)
isoband 0.2.5 2021-07-13 [1] CRAN (R 4.1.0)
jsonlite 1.7.2 2020-12-09 [1] CRAN (R 4.1.0)
labeling 0.4.2 2020-10-20 [1] CRAN (R 4.1.0)
lattice 0.20-45 2021-09-22 [1] CRAN (R 4.1.2)
lifecycle 1.0.3 2022-10-07 [1] CRAN (R 4.1.2)
loo 2.4.1 2020-12-09 [1] CRAN (R 4.1.0)
magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.1.0)
MASS 7.3-54 2021-05-03 [1] CRAN (R 4.1.2)
Matrix 1.3-4 2021-06-01 [1] CRAN (R 4.1.2)
matrixStats 0.61.0 2021-09-17 [1] CRAN (R 4.1.0)
mgcv 1.8-38 2021-10-06 [1] CRAN (R 4.1.2)
munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.0)
nlme 3.1-153 2021-09-07 [1] CRAN (R 4.1.2)
pillar 1.6.4 2021-10-18 [1] CRAN (R 4.1.0)
pkgbuild 1.2.1 2021-11-30 [1] CRAN (R 4.1.0)
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.0)
prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.1.0)
processx 3.5.2 2021-04-30 [1] CRAN (R 4.1.0)
ps 1.6.0 2021-02-28 [1] CRAN (R 4.1.0)
R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.0)
RColorBrewer 1.1-2 2014-12-07 [1] CRAN (R 4.1.0)
Rcpp 1.0.7 2021-07-07 [1] CRAN (R 4.1.0)
RcppEigen 0.3.3.9.1 2020-12-17 [1] CRAN (R 4.1.0)
RcppParallel 5.1.4 2021-05-04 [1] CRAN (R 4.1.0)
rlang 1.0.6 2022-09-24 [1] CRAN (R 4.1.2)
rprojroot 2.0.2 2020-11-15 [1] CRAN (R 4.1.0)
rstan 2.21.2 2020-07-27 [1] CRAN (R 4.1.0)
scales 1.2.1 2022-08-20 [1] CRAN (R 4.1.2)
StanHeaders 2.21.0-7 2020-12-17 [1] CRAN (R 4.1.0)
tibble 3.1.6 2021-11-07 [1] CRAN (R 4.1.0)
utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.0)
V8 3.6.0 2021-11-10 [1] CRAN (R 4.1.0)
vctrs 0.5.2 2023-01-23 [1] CRAN (R 4.1.2)
viridisLite 0.4.0 2021-04-13 [1] CRAN (R 4.1.0)
withr 2.5.0 2022-03-03 [1] CRAN (R 4.1.2)

[1] /Library/Frameworks/R.framework/Versions/4.1/Resources/library

─────────────────────────────────────────────────────────────────────────────────────

2

The error information is:

── PlatFormDesignTimeTrend 1.0.0.9000: PREPERROR

Build ID: PlatFormDesignTimeTrend_1.0.0.9000.tar.gz-5fc578959aa74c6c99ca24fba72e0b22
Platform: Windows Server 2022, R-devel, 64 bit
Submitted: 18m 7.2s ago
Build time: 17m 54s

❯ Build failed during preparation or aborted

[…]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:44: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:44: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
650 | return internal::first_aligned<int(unpacket_traits::alignment),Derived>(m);
| ^~~~~~~~~
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
989 | PacketAlignment = unpacket_traits::alignment,
| ^~~~~~~~~
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’

3

C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes]
55 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
C:/Users/USERzMDwVaFcLI/AppData/Local/R/win-library/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]’

4

@andrjohns @hsbadr @bgoodri @WardBrian