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dev/articles/external.html

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dev/articles/external.md

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@@ -247,12 +247,12 @@ stan_model(model_code = mc, model_name = "external", allow_undefined = TRUE,
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## Error in `compileCode()`:
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## ! int Option = 0; Scalar = double]’
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## /home/runner/work/_temp/Library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model286b11da08be_external_namespace::model286b11da08be_external; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’
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## /home/runner/work/_temp/Library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model28592a390f1b_external_namespace::model28592a390f1b_external; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’
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## /home/runner/work/_temp/Library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here
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## /home/runner/work/_temp/Library/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]
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## 654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
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## | ^~~~~~~~~
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## make: *** [/opt/R/4.5.3/lib/R/etc/Makeconf:211: file286b71514d81.o] Error 1
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## make: *** [/opt/R/4.5.3/lib/R/etc/Makeconf:211: file285936e98f90.o] Error 1
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## Error in `sink()`:
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## ! invalid connection
@@ -303,19 +303,19 @@ try(readLines(stanc(model_code = mc, allow_undefined = TRUE)$cppcode))
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## #endif
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## // Code generated by stanc v2.38.0-79-gbd50e47
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## #include <stan/model/model_header.hpp>
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## namespace model286b785dbeeb_file286b7e0596c2_namespace {
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## namespace model285963906b1e_file28591ea6da06_namespace {
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## using stan::model::model_base_crtp;
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## using namespace stan::math;
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## stan::math::profile_map profiles__;
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## static constexpr std::array<const char*, 2> locations_array__ =
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## {" (found before start of program)",
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## " (in 'file286b7e0596c2', line 2, column 19 to column 45)"};
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## class model286b785dbeeb_file286b7e0596c2 final : public model_base_crtp<model286b785dbeeb_file286b7e0596c2> {
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## " (in 'file28591ea6da06', line 2, column 19 to column 45)"};
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## class model285963906b1e_file28591ea6da06 final : public model_base_crtp<model285963906b1e_file28591ea6da06> {
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## private:
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## double sinc_pi;
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## public:
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## ~model286b785dbeeb_file286b7e0596c2() {}
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## model286b785dbeeb_file286b7e0596c2(stan::io::var_context& context__,
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## ~model285963906b1e_file28591ea6da06() {}
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## model285963906b1e_file28591ea6da06(stan::io::var_context& context__,
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## unsigned int random_seed__ = 0,
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## std::ostream* pstream__ = nullptr)
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## : model_base_crtp(0) {
@@ -327,19 +327,19 @@ try(readLines(stanc(model_code = mc, allow_undefined = TRUE)$cppcode))
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## #endif
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## // Code generated by stanc v2.38.0-79-gbd50e47
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## #include <stan/model/model_header.hpp>
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## namespace model286b785dbeeb_file286b7e0596c2_namespace {
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## namespace model285963906b1e_file28591ea6da06_namespace {
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## using stan::model::model_base_crtp;
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## using namespace stan::math;
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## stan::math::profile_map profiles__;
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## static constexpr std::array<const char*, 2> locations_array__ =
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## {" (found before start of program)",
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## " (in 'file286b7e0596c2', line 2, column 19 to column 45)"};
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## class model286b785dbeeb_file286b7e0596c2 final : public model_base_crtp<model286b785dbeeb_file286b7e0596c2> {
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## " (in 'file28591ea6da06', line 2, column 19 to column 45)"};
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## class model285963906b1e_file28591ea6da06 final : public model_base_crtp<model285963906b1e_file28591ea6da06> {
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## private:
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## double sinc_pi;
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## public:
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## ~model286b785dbeeb_file286b7e0596c2() {}
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## model286b785dbeeb_file286b7e0596c2(stan::io::var_context& context__,
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## ~model285963906b1e_file28591ea6da06() {}
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## model285963906b1e_file28591ea6da06(stan::io::var_context& context__,
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## unsigned int random_seed__ = 0,
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## std::ostream* pstream__ = nullptr)
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## : model_base_crtp(0) {
@@ -351,19 +351,19 @@ try(readLines(stanc(model_code = mc, allow_undefined = TRUE)$cppcode))
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## #endif
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## // Code generated by stanc v2.38.0-79-gbd50e47
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## #include <stan/model/model_header.hpp>
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## namespace model286b785dbeeb_file286b7e0596c2_namespace {
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## namespace model285963906b1e_file28591ea6da06_namespace {
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## using stan::model::model_base_crtp;
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## using namespace stan::math;
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## stan::math::profile_map profiles__;
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## static constexpr std::array<const char*, 2> locations_array__ =
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## {" (found before start of program)",
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## " (in 'file286b7e0596c2', line 2, column 19 to column 45)"};
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## class model286b785dbeeb_file286b7e0596c2 final : public model_base_crtp<model286b785dbeeb_file286b7e0596c2> {
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## " (in 'file28591ea6da06', line 2, column 19 to column 45)"};
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## class model285963906b1e_file28591ea6da06 final : public model_base_crtp<model285963906b1e_file28591ea6da06> {
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## private:
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## double sinc_pi;
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## public:
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## ~model286b785dbeeb_file286b7e0596c2() {}
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## model286b785dbeeb_file286b7e0596c2(stan::io::var_context& context__,
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## ~model285963906b1e_file28591ea6da06() {}
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## model285963906b1e_file28591ea6da06(stan::io::var_context& context__,
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## unsigned int random_seed__ = 0,
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## std::ostream* pstream__ = nullptr)
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## : model_base_crtp(0) {

dev/articles/rstan.html

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dev/articles/rstan.md

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@@ -301,7 +301,7 @@ print(fit1, pars=c("theta", "mu", "tau", "lp__"), probs=c(.1,.5,.9))
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tau 6.29 0.15 5.37 0.91 5.09 13.12 1372 1
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lp__ -39.67 0.07 2.68 -43.19 -39.43 -36.53 1352 1
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Samples were drawn using NUTS(diag_e) at Thu Mar 12 03:23:43 2026.
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Samples were drawn using NUTS(diag_e) at Thu Mar 12 19:08:50 2026.
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For each parameter, n_eff is a crude measure of effective sample size,
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and Rhat is the potential scale reduction factor on split chains (at
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convergence, Rhat=1).
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mu 8.10 0.11 5.06 -1.43 4.92 7.90 11.30 18.38 2265 1
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tau 6.29 0.15 5.37 0.20 2.36 5.09 8.85 19.14 1372 1
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Samples were drawn using NUTS(diag_e) at Thu Mar 12 03:23:43 2026.
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Samples were drawn using NUTS(diag_e) at Thu Mar 12 19:08:50 2026.
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For each parameter, n_eff is a crude measure of effective sample size,
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and Rhat is the potential scale reduction factor on split chains (at
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convergence, Rhat=1).

dev/articles/stanfit-objects.html

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dev/articles/stanfit-objects.md

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@@ -403,5 +403,5 @@ print(get_elapsed_time(fit))
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warmup sample
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chain:1 0.023 0.018
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chain:2 0.022 0.027
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chain:3 0.028 0.026
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chain:4 0.022 0.022
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chain:3 0.028 0.027
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chain:4 0.023 0.022

dev/pkgdown.yml

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@@ -6,7 +6,7 @@ articles:
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rstan: rstan.html
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SBC: SBC.html
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stanfit-objects: stanfit-objects.html
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last_built: 2026-03-12T03:04Z
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last_built: 2026-03-12T18:50Z
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urls:
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reference: https://mc-stan.org/rstan/reference
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article: https://mc-stan.org/rstan/articles

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