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Author: stan-buildbot

dev/articles/SBC.html

@@ -247,12 +247,12 @@ stan_model(model_code = mc, model_name = "external", allow_undefined = TRUE,
 
     ## Error in `compileCode()`:
     ## !  int Option = 0; Scalar = double]’
-    ## /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 = model29bf22eb0b3c_external_namespace::model29bf22eb0b3c_external; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’
+    ## /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 = model27db75873e84_external_namespace::model27db75873e84_external; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’
     ## /home/runner/work/_temp/Library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
     ## /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]
     ##   654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
     ##       |                                                                          ^~~~~~~~~
-    ## make: *** [/opt/R/4.5.2/lib/R/etc/Makeconf:211: file29bf529e2f74.o] Error 1
+    ## make: *** [/opt/R/4.5.2/lib/R/etc/Makeconf:211: file27db6da18e09.o] Error 1
 
     ## Error in `sink()`:
     ## ! invalid connection
@@ -303,19 +303,19 @@ try(readLines(stanc(model_code = mc, allow_undefined = TRUE)$cppcode))
     ## #endif
     ## // Code generated by stanc v2.38.0-21-g9157643
     ## #include <stan/model/model_header.hpp>
-    ## namespace model29bf7338858b_file29bf68a186e2_namespace {
+    ## namespace model27db1ea4959e_file27db1ade4760_namespace {
     ## using stan::model::model_base_crtp;
     ## using namespace stan::math;
     ## stan::math::profile_map profiles__;
     ## static constexpr std::array<const char*, 2> locations_array__ =
     ##   {" (found before start of program)",
-    ##   " (in 'file29bf68a186e2', line 2, column 19 to column 45)"};
-    ## class model29bf7338858b_file29bf68a186e2 final : public model_base_crtp<model29bf7338858b_file29bf68a186e2> {
+    ##   " (in 'file27db1ade4760', line 2, column 19 to column 45)"};
+    ## class model27db1ea4959e_file27db1ade4760 final : public model_base_crtp<model27db1ea4959e_file27db1ade4760> {
     ## private:
     ##   double sinc_pi;
     ## public:
-    ##   ~model29bf7338858b_file29bf68a186e2() {}
-    ##   model29bf7338858b_file29bf68a186e2(stan::io::var_context& context__,
+    ##   ~model27db1ea4959e_file27db1ade4760() {}
+    ##   model27db1ea4959e_file27db1ade4760(stan::io::var_context& context__,
     ##                                      unsigned int random_seed__ = 0,
     ##                                      std::ostream* pstream__ = nullptr)
     ##       : model_base_crtp(0) {
@@ -327,19 +327,19 @@ try(readLines(stanc(model_code = mc, allow_undefined = TRUE)$cppcode))
     ## #endif
     ## // Code generated by stanc v2.38.0-21-g9157643
     ## #include <stan/model/model_header.hpp>
-    ## namespace model29bf7338858b_file29bf68a186e2_namespace {
+    ## namespace model27db1ea4959e_file27db1ade4760_namespace {
     ## using stan::model::model_base_crtp;
     ## using namespace stan::math;
     ## stan::math::profile_map profiles__;
     ## static constexpr std::array<const char*, 2> locations_array__ =
     ##   {" (found before start of program)",
-    ##   " (in 'file29bf68a186e2', line 2, column 19 to column 45)"};
-    ## class model29bf7338858b_file29bf68a186e2 final : public model_base_crtp<model29bf7338858b_file29bf68a186e2> {
+    ##   " (in 'file27db1ade4760', line 2, column 19 to column 45)"};
+    ## class model27db1ea4959e_file27db1ade4760 final : public model_base_crtp<model27db1ea4959e_file27db1ade4760> {
     ## private:
     ##   double sinc_pi;
     ## public:
-    ##   ~model29bf7338858b_file29bf68a186e2() {}
-    ##   model29bf7338858b_file29bf68a186e2(stan::io::var_context& context__,
+    ##   ~model27db1ea4959e_file27db1ade4760() {}
+    ##   model27db1ea4959e_file27db1ade4760(stan::io::var_context& context__,
     ##                                      unsigned int random_seed__ = 0,
     ##                                      std::ostream* pstream__ = nullptr)
     ##       : model_base_crtp(0) {
@@ -351,19 +351,19 @@ try(readLines(stanc(model_code = mc, allow_undefined = TRUE)$cppcode))
     ## #endif
     ## // Code generated by stanc v2.38.0-21-g9157643
     ## #include <stan/model/model_header.hpp>
-    ## namespace model29bf7338858b_file29bf68a186e2_namespace {
+    ## namespace model27db1ea4959e_file27db1ade4760_namespace {
     ## using stan::model::model_base_crtp;
     ## using namespace stan::math;
     ## stan::math::profile_map profiles__;
     ## static constexpr std::array<const char*, 2> locations_array__ =
     ##   {" (found before start of program)",
-    ##   " (in 'file29bf68a186e2', line 2, column 19 to column 45)"};
-    ## class model29bf7338858b_file29bf68a186e2 final : public model_base_crtp<model29bf7338858b_file29bf68a186e2> {
+    ##   " (in 'file27db1ade4760', line 2, column 19 to column 45)"};
+    ## class model27db1ea4959e_file27db1ade4760 final : public model_base_crtp<model27db1ea4959e_file27db1ade4760> {
     ## private:
     ##   double sinc_pi;
     ## public:
-    ##   ~model29bf7338858b_file29bf68a186e2() {}
-    ##   model29bf7338858b_file29bf68a186e2(stan::io::var_context& context__,
+    ##   ~model27db1ea4959e_file27db1ade4760() {}
+    ##   model27db1ea4959e_file27db1ade4760(stan::io::var_context& context__,
     ##                                      unsigned int random_seed__ = 0,
     ##                                      std::ostream* pstream__ = nullptr)
     ##       : model_base_crtp(0) {

dev/articles/external.html

@@ -301,7 +301,7 @@ print(fit1, pars=c("theta", "mu", "tau", "lp__"), probs=c(.1,.5,.9))
     tau        6.29    0.15 5.37   0.91   5.09  13.12  1372    1
     lp__     -39.67    0.07 2.68 -43.19 -39.43 -36.53  1352    1
 
-    Samples were drawn using NUTS(diag_e) at Thu Jan 29 11:08:19 2026.
+    Samples were drawn using NUTS(diag_e) at Mon Feb  9 21:29:06 2026.
     For each parameter, n_eff is a crude measure of effective sample size,
     and Rhat is the potential scale reduction factor on split chains (at 
     convergence, Rhat=1).
@@ -443,7 +443,7 @@ print(fit1, pars = c("mu", "tau"))
     mu  8.10    0.11 5.06 -1.43 4.92 7.90 11.30 18.38  2265    1
     tau 6.29    0.15 5.37  0.20 2.36 5.09  8.85 19.14  1372    1
 
-    Samples were drawn using NUTS(diag_e) at Thu Jan 29 11:08:19 2026.
+    Samples were drawn using NUTS(diag_e) at Mon Feb  9 21:29:06 2026.
     For each parameter, n_eff is a crude measure of effective sample size,
     and Rhat is the potential scale reduction factor on split chains (at 
     convergence, Rhat=1).