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dev/articles/SBC.html

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dev/articles/external.html

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dev/articles/external.md

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@@ -246,13 +246,13 @@ stan_model(model_code = mc, model_name = "external", allow_undefined = TRUE,
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## make: *** [/opt/R/4.5.3/lib/R/etc/Makeconf:202: foo.o] Error 1
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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 = model2a394ced3691_external_namespace::model2a394ced3691_external; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’
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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 = model29014c219af9_external_namespace::model29014c219af9_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: file2a39333533d.o] Error 1
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## make: *** [/opt/R/4.5.3/lib/R/etc/Makeconf:211: file29016d3858ca.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 v2.38.0-89-g5d63971
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## #include <stan/model/model_header.hpp>
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## namespace model2a3967553196_file2a39185b0d7e_namespace {
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## namespace model29011c5d0e2f_file29012a153147_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 'file2a39185b0d7e', line 2, column 19 to column 45)"};
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## class model2a3967553196_file2a39185b0d7e final : public model_base_crtp<model2a3967553196_file2a39185b0d7e> {
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## " (in 'file29012a153147', line 2, column 19 to column 45)"};
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## class model29011c5d0e2f_file29012a153147 final : public model_base_crtp<model29011c5d0e2f_file29012a153147> {
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## private:
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## double sinc_pi;
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## public:
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## ~model2a3967553196_file2a39185b0d7e() {}
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## model2a3967553196_file2a39185b0d7e(stan::io::var_context& context__,
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## ~model29011c5d0e2f_file29012a153147() {}
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## model29011c5d0e2f_file29012a153147(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 v2.38.0-89-g5d63971
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## #include <stan/model/model_header.hpp>
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## namespace model2a3967553196_file2a39185b0d7e_namespace {
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## namespace model29011c5d0e2f_file29012a153147_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 'file2a39185b0d7e', line 2, column 19 to column 45)"};
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## class model2a3967553196_file2a39185b0d7e final : public model_base_crtp<model2a3967553196_file2a39185b0d7e> {
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## " (in 'file29012a153147', line 2, column 19 to column 45)"};
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## class model29011c5d0e2f_file29012a153147 final : public model_base_crtp<model29011c5d0e2f_file29012a153147> {
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## private:
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## double sinc_pi;
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## public:
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## ~model2a3967553196_file2a39185b0d7e() {}
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## model2a3967553196_file2a39185b0d7e(stan::io::var_context& context__,
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## ~model29011c5d0e2f_file29012a153147() {}
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## model29011c5d0e2f_file29012a153147(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 v2.38.0-89-g5d63971
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## #include <stan/model/model_header.hpp>
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## namespace model2a3967553196_file2a39185b0d7e_namespace {
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## namespace model29011c5d0e2f_file29012a153147_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 'file2a39185b0d7e', line 2, column 19 to column 45)"};
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## class model2a3967553196_file2a39185b0d7e final : public model_base_crtp<model2a3967553196_file2a39185b0d7e> {
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## " (in 'file29012a153147', line 2, column 19 to column 45)"};
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## class model29011c5d0e2f_file29012a153147 final : public model_base_crtp<model29011c5d0e2f_file29012a153147> {
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## private:
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## double sinc_pi;
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## public:
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## ~model2a3967553196_file2a39185b0d7e() {}
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## model2a3967553196_file2a39185b0d7e(stan::io::var_context& context__,
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## ~model29011c5d0e2f_file29012a153147() {}
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## model29011c5d0e2f_file29012a153147(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 Tue Apr 7 16:41:23 2026.
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Samples were drawn using NUTS(diag_e) at Thu Apr 9 14:55:16 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).
@@ -443,7 +443,7 @@ print(fit1, pars = c("mu", "tau"))
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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 Tue Apr 7 16:41:23 2026.
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Samples were drawn using NUTS(diag_e) at Thu Apr 9 14:55:16 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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