Running 'rstan.R' [53s]
Running the tests in 'tests/rstan.R' failed.
Complete output:
  > Sys.setenv("R_TESTS" = "")
  > library(rstan)
  Loading required package: StanHeaders
  Loading required package: ggplot2
  rstan (Version 2.21.2, GitRev: 2e1f913d3ca3)
  For execution on a local, multicore CPU with excess RAM we recommend calling
  options(mc.cores = parallel::detectCores()).
  To avoid recompilation of unchanged Stan programs, we recommend calling
  rstan_options(auto_write = TRUE)
  Do not specify '-march=native' in 'LOCAL_CPPFLAGS' or a Makevars file
  > stancode <- 'data {real y_mean;} parameters {real y;} model {y ~ normal(y_mean,1);}'
  > mod <- stan_model(model_code = stancode, verbose = TRUE)
  
  TRANSLATING MODEL '73fc79f8b1915e8208c736914c86d1a1' FROM Stan CODE TO C++ CODE NOW.
  successful in parsing the Stan model '73fc79f8b1915e8208c736914c86d1a1'.
  OS: i386, mingw32; rstan: 2.21.2; Rcpp: 1.0.5; inline: 0.3.15 
   >> setting environment variables: 
  LOCAL_LIBS =  "D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/rstan/lib/i386/libStanServices.a" -L"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/libs/i386" -lStanHeaders -L"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppParallel/lib/i386" -ltbb
  PKG_CPPFLAGS =   -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/Rcpp/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppEigen/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppEigen/include/unsupported"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/BH/include" -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppParallel/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS  -DBOOST_PENDING_INTEGER_LOG2_HPP  -DSTAN_THREADS  -DBOOST_NO_AUTO_PTR  -include "D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp"  -std=c++1y
   >> Program source :
  
     1 : 
     2 : // includes from the plugin
     3 : // [[Rcpp::plugins(cpp14)]]
     4 : 
     5 : 
     6 : // user includes
     7 : #include <Rcpp.h>
     8 : #include <rstan/io/rlist_ref_var_context.hpp>
     9 : #include <rstan/io/r_ostream.hpp>
    10 : #include <rstan/stan_args.hpp>
    11 : #include <boost/integer/integer_log2.hpp>
    12 : // Code generated by Stan version 2.21.0
    13 : 
    14 : #include <stan/model/model_header.hpp>
    15 : 
    16 : namespace model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace {
    17 : 
    18 : using std::istream;
    19 : using std::string;
    20 : using std::stringstream;
    21 : using std::vector;
    22 : using stan::io::dump;
    23 : using stan::math::lgamma;
    24 : using stan::model::prob_grad;
    25 : using namespace stan::math;
    26 : 
    27 : static int current_statement_begin__;
    28 : 
    29 : stan::io::program_reader prog_reader__() {
    30 :     stan::io::program_reader reader;
    31 :     reader.add_event(0, 0, "start", "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1");
    32 :     reader.add_event(3, 1, "end", "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1");
    33 :     return reader;
    34 : }
    35 : 
    36 : class model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1
    37 :   : public stan::model::model_base_crtp<model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1> {
    38 : private:
    39 :         double y_mean;
    40 : public:
    41 :     model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1(rstan::io::rlist_ref_var_context& context__,
    42 :         std::ostream* pstream__ = 0)
    43 :         : model_base_crtp(0) {
    44 :         ctor_body(context__, 0, pstream__);
    45 :     }
    46 : 
    47 :     model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1(stan::io::var_context& context__,
    48 :         unsigned int random_seed__,
    49 :         std::ostream* pstream__ = 0)
    50 :         : model_base_crtp(0) {
    51 :         ctor_body(context__, random_seed__, pstream__);
    52 :     }
    53 : 
    54 :     void ctor_body(stan::io::var_context& context__,
    55 :                    unsigned int random_seed__,
    56 :                    std::ostream* pstream__) {
    57 :         typedef double local_scalar_t__;
    58 : 
    59 :         boost::ecuyer1988 base_rng__ =
    60 :           stan::services::util::create_rng(random_seed__, 0);
    61 :         (void) base_rng__;  // suppress unused var warning
    62 : 
    63 :         current_statement_begin__ = -1;
    64 : 
    65 :         static const char* function__ = "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1";
    66 :         (void) function__;  // dummy to suppress unused var warning
    67 :         size_t pos__;
    68 :         (void) pos__;  // dummy to suppress unused var warning
    69 :         std::vector<int> vals_i__;
    70 :         std::vector<double> vals_r__;
    71 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
    72 :         (void) DUMMY_VAR__;  // suppress unused var warning
    73 : 
    74 :         try {
    75 :             // initialize data block variables from context__
    76 :             current_statement_begin__ = 1;
    77 :             context__.validate_dims("data initialization", "y_mean", "double", context__.to_vec());
    78 :             y_mean = double(0);
    79 :             vals_r__ = context__.vals_r("y_mean");
    80 :             pos__ = 0;
    81 :             y_mean = vals_r__[pos__++];
    82 : 
    83 : 
    84 :             // initialize transformed data variables
    85 :             // execute transformed data statements
    86 : 
    87 :             // validate transformed data
    88 : 
    89 :             // validate, set parameter ranges
    90 :             num_params_r__ = 0U;
    91 :             param_ranges_i__.clear();
    92 :             current_statement_begin__ = 1;
    93 :             num_params_r__ += 1;
    94 :         } catch (const std::exception& e) {
    95 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
    96 :             // Next line prevents compiler griping about no return
    97 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
    98 :         }
    99 :     }
   100 : 
   101 :     ~model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1() { }
   102 : 
   103 : 
   104 :     void transform_inits(const stan::io::var_context& context__,
   105 :                          std::vector<int>& params_i__,
   106 :                          std::vector<double>& params_r__,
   107 :                          std::ostream* pstream__) const {
   108 :         typedef double local_scalar_t__;
   109 :         stan::io::writer<double> writer__(params_r__, params_i__);
   110 :         size_t pos__;
   111 :         (void) pos__; // dummy call to supress warning
   112 :         std::vector<double> vals_r__;
   113 :         std::vector<int> vals_i__;
   114 : 
   115 :         current_statement_begin__ = 1;
   116 :         if (!(context__.contains_r("y")))
   117 :             stan::lang::rethrow_located(std::runtime_error(std::string("Variable y missing")), current_statement_begin__, prog_reader__());
   118 :         vals_r__ = context__.vals_r("y");
   119 :         pos__ = 0U;
   120 :         context__.validate_dims("parameter initialization", "y", "double", context__.to_vec());
   121 :         double y(0);
   122 :         y = vals_r__[pos__++];
   123 :         try {
   124 :             writer__.scalar_unconstrain(y);
   125 :         } catch (const std::exception& e) {
   126 :             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable y: ") + e.what()), current_statement_begin__, prog_reader__());
   127 :         }
   128 : 
   129 :         params_r__ = writer__.data_r();
   130 :         params_i__ = writer__.data_i();
   131 :     }
   132 : 
   133 :     void transform_inits(const stan::io::var_context& context,
   134 :                          Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
   135 :                          std::ostream* pstream__) const {
   136 :       std::vector<double> params_r_vec;
   137 :       std::vector<int> params_i_vec;
   138 :       transform_inits(context, params_i_vec, params_r_vec, pstream__);
   139 :       params_r.resize(params_r_vec.size());
   140 :       for (int i = 0; i < params_r.size(); ++i)
   141 :         params_r(i) = params_r_vec[i];
   142 :     }
   143 : 
   144 : 
   145 :     template <bool propto__, bool jacobian__, typename T__>
   146 :     T__ log_prob(std::vector<T__>& params_r__,
   147 :                  std::vector<int>& params_i__,
   148 :                  std::ostream* pstream__ = 0) const {
   149 : 
   150 :         typedef T__ local_scalar_t__;
   151 : 
   152 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
   153 :         (void) DUMMY_VAR__;  // dummy to suppress unused var warning
   154 : 
   155 :         T__ lp__(0.0);
   156 :         stan::math::accumulator<T__> lp_accum__;
   157 :         try {
   158 :             stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
   159 : 
   160 :             // model parameters
   161 :             current_statement_begin__ = 1;
   162 :             local_scalar_t__ y;
   163 :             (void) y;  // dummy to suppress unused var warning
   164 :             if (jacobian__)
   165 :                 y = in__.scalar_constrain(lp__);
   166 :             else
   167 :                 y = in__.scalar_constrain();
   168 : 
   169 :             // model body
   170 : 
   171 :             current_statement_begin__ = 1;
   172 :             lp_accum__.add(normal_log<propto__>(y, y_mean, 1));
   173 : 
   174 :         } catch (const std::exception& e) {
   175 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
   176 :             // Next line prevents compiler griping about no return
   177 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
   178 :         }
   179 : 
   180 :         lp_accum__.add(lp__);
   181 :         return lp_accum__.sum();
   182 : 
   183 :     } // log_prob()
   184 : 
   185 :     template <bool propto, bool jacobian, typename T_>
   186 :     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
   187 :                std::ostream* pstream = 0) const {
   188 :       std::vector<T_> vec_params_r;
   189 :       vec_params_r.reserve(params_r.size());
   190 :       for (int i = 0; i < params_r.size(); ++i)
   191 :         vec_params_r.push_back(params_r(i));
   192 :       std::vector<int> vec_params_i;
   193 :       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
   194 :     }
   195 : 
   196 : 
   197 :     void get_param_names(std::vector<std::string>& names__) const {
   198 :         names__.resize(0);
   199 :         names__.push_back("y");
   200 :     }
   201 : 
   202 : 
   203 :     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
   204 :         dimss__.resize(0);
   205 :         std::vector<size_t> dims__;
   206 :         dims__.resize(0);
   207 :         dimss__.push_back(dims__);
   208 :     }
   209 : 
   210 :     template <typename RNG>
   211 :     void write_array(RNG& base_rng__,
   212 :                      std::vector<double>& params_r__,
   213 :                      std::vector<int>& params_i__,
   214 :                      std::vector<double>& vars__,
   215 :                      bool include_tparams__ = true,
   216 :                      bool include_gqs__ = true,
   217 :                      std::ostream* pstream__ = 0) const {
   218 :         typedef double local_scalar_t__;
   219 : 
   220 :         vars__.resize(0);
   221 :         stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
   222 :         static const char* function__ = "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::write_array";
   223 :         (void) function__;  // dummy to suppress unused var warning
   224 : 
   225 :         // read-transform, write parameters
   226 :         double y = in__.scalar_constrain();
   227 :         vars__.push_back(y);
   228 : 
   229 :         double lp__ = 0.0;
   230 :         (void) lp__;  // dummy to suppress unused var warning
   231 :         stan::math::accumulator<double> lp_accum__;
   232 : 
   233 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
   234 :         (void) DUMMY_VAR__;  // suppress unused var warning
   235 : 
   236 :         if (!include_tparams__ && !include_gqs__) return;
   237 : 
   238 :         try {
   239 :             if (!include_gqs__ && !include_tparams__) return;
   240 :             if (!include_gqs__) return;
   241 :         } catch (const std::exception& e) {
   242 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
   243 :             // Next line prevents compiler griping about no return
   244 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
   245 :         }
   246 :     }
   247 : 
   248 :     template <typename RNG>
   249 :     void write_array(RNG& base_rng,
   250 :                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
   251 :                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
   252 :                      bool include_tparams = true,
   253 :                      bool include_gqs = true,
   254 :                      std::ostream* pstream = 0) const {
   255 :       std::vector<double> params_r_vec(params_r.size());
   256 :       for (int i = 0; i < params_r.size(); ++i)
   257 :         params_r_vec[i] = params_r(i);
   258 :       std::vector<double> vars_vec;
   259 :       std::vector<int> params_i_vec;
   260 :       write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
   261 :       vars.resize(vars_vec.size());
   262 :       for (int i = 0; i < vars.size(); ++i)
   263 :         vars(i) = vars_vec[i];
   264 :     }
   265 : 
   266 :     std::string model_name() const {
   267 :         return "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1";
   268 :     }
   269 : 
   270 : 
   271 :     void constrained_param_names(std::vector<std::string>& param_names__,
   272 :                                  bool include_tparams__ = true,
   273 :                                  bool include_gqs__ = true) const {
   274 :         std::stringstream param_name_stream__;
   275 :         param_name_stream__.str(std::string());
   276 :         param_name_stream__ << "y";
   277 :         param_names__.push_back(param_name_stream__.str());
   278 : 
   279 :         if (!include_gqs__ && !include_tparams__) return;
   280 : 
   281 :         if (include_tparams__) {
   282 :         }
   283 : 
   284 :         if (!include_gqs__) return;
   285 :     }
   286 : 
   287 : 
   288 :     void unconstrained_param_names(std::vector<std::string>& param_names__,
   289 :                                    bool include_tparams__ = true,
   290 :                                    bool include_gqs__ = true) const {
   291 :         std::stringstream param_name_stream__;
   292 :         param_name_stream__.str(std::string());
   293 :         param_name_stream__ << "y";
   294 :         param_names__.push_back(param_name_stream__.str());
   295 : 
   296 :         if (!include_gqs__ && !include_tparams__) return;
   297 : 
   298 :         if (include_tparams__) {
   299 :         }
   300 : 
   301 :         if (!include_gqs__) return;
   302 :     }
   303 : 
   304 : }; // model
   305 : 
   306 : }  // namespace
   307 : 
   308 : typedef model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1 stan_model;
   309 : 
   310 : #ifndef USING_R
   311 : 
   312 : stan::model::model_base& new_model(
   313 :         stan::io::var_context& data_context,
   314 :         unsigned int seed,
   315 :         std::ostream* msg_stream) {
   316 :   stan_model* m = new stan_model(data_context, seed, msg_stream);
   317 :   return *m;
   318 : }
   319 : 
   320 : #endif
   321 : 
   322 : 
   323 : 
   324 : #include <rstan_next/stan_fit.hpp>
   325 : 
   326 : struct stan_model_holder {
   327 :     stan_model_holder(rstan::io::rlist_ref_var_context rcontext,
   328 :                       unsigned int random_seed)
   329 :     : rcontext_(rcontext), random_seed_(random_seed)
   330 :      {
   331 :      }
   332 : 
   333 :    //stan::math::ChainableStack ad_stack;
   334 :    rstan::io::rlist_ref_var_context rcontext_;
   335 :    unsigned int random_seed_;
   336 : };
   337 : 
   338 : Rcpp::XPtr<stan::model::model_base> model_ptr(stan_model_holder* smh) {
   339 :   Rcpp::XPtr<stan::model::model_base> model_instance(new stan_model(smh->rcontext_, smh->random_seed_), true);
   340 :   return model_instance;
   341 : }
   342 : 
   343 : Rcpp::XPtr<rstan::stan_fit_base> fit_ptr(stan_model_holder* smh) {
   344 :   return Rcpp::XPtr<rstan::stan_fit_base>(new rstan::stan_fit(model_ptr(smh), smh->random_seed_), true);
   345 : }
   346 : 
   347 : std::string model_name(stan_model_holder* smh) {
   348 :   return model_ptr(smh).get()->model_name();
   349 : }
   350 : 
   351 : RCPP_MODULE(stan_fit4model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_mod){
   352 :   Rcpp::class_<stan_model_holder>("stan_fit4model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1")
   353 :   .constructor<rstan::io::rlist_ref_var_context, unsigned int>()
   354 :   .method("model_ptr", &model_ptr)
   355 :   .method("fit_ptr", &fit_ptr)
   356 :   .method("model_name", &model_name)
   357 :   ;
   358 : }
   359 : 
   360 : 
   361 : // declarations
   362 : extern "C" {
   363 : SEXP file15338466b2b5f( ) ;
   364 : }
   365 : 
   366 : // definition
   367 : 
   368 : SEXP file15338466b2b5f(  ){
   369 :  return Rcpp::wrap("73fc79f8b1915e8208c736914c86d1a1");
   370 : }
   371 : 
   372 : 
  Compilation argument:
   D:/RCompile/recent/R-36~1.3/bin/i386/R CMD SHLIB file15338466b2b5f.cpp 2> file15338466b2b5f.cpp.err.txt 
  make[1]: Entering directory `/cygdrive/d/temp/RtmpAtt7Do'
  d:/Compiler/gcc-4.9.3/mingw_32/bin/g++  -std=gnu++11 -I"D:/RCompile/recent/R-36~1.3/include" -DNDEBUG   -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/Rcpp/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppEigen/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppEigen/include/unsupported"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/BH/include" -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppParallel/include/"  -I"D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS  -DBOOST_PENDING_INTEGER_LOG2_HPP  -DSTAN_THREADS  -DBOOST_NO_AUTO_PTR  -include "D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp"  -std=c++1y    -I"d:/Compiler/gcc-4.9.3/local330/include"   -include D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp -I "D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include" -I "D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/RcppEigen/include"   -O2 -Wall  -mtune=core2 -c file15338466b2b5f.cpp -o file15338466b2b5f.o
  d:/Compiler/gcc-4.9.3/mingw_32/bin/g++ -shared -s -static-libgcc -o file15338466b2b5f.dll tmp.def file15338466b2b5f.o -Ld:/Compiler/gcc-4.9.3/local330/lib/i386 -Ld:/Compiler/gcc-4.9.3/local330/lib -LD:/RCompile/recent/R-36~1.3/bin/i386 -lR
  make[1]: Leaving directory `/cygdrive/d/temp/RtmpAtt7Do'
  make[1]: Entering directory `/cygdrive/d/temp/RtmpAtt7Do'
  make[1]: Leaving directory `/cygdrive/d/temp/RtmpAtt7Do'
  In file included from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5:0,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat.hpp:278,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math.hpp:4,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/stan/model/model_header.hpp:4,
                   from file15338466b2b5f.cpp:14:
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
     using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                            ^
  In file included from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5:0,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat.hpp:328,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math.hpp:4,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/stan/model/model_header.hpp:4,
                   from file15338466b2b5f.cpp:14:
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
         partials_return_t<T_alpha>>;
                                    ^
  In file included from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat.hpp:51:0,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math.hpp:4,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/stan/model/model_header.hpp:4,
                   from file15338466b2b5f.cpp:14:
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
       using idx_t = typename index_type<matrix_v>::type;
                                                        ^
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
       using idx_t = typename index_type<matrix_d>::type;
                                                        ^
  file15338466b2b5f.cpp: In member function 'virtual void model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
  file15338466b2b5f.cpp:108:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
           typedef double local_scalar_t__;
                          ^
  In file included from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/core.hpp:46:0,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat.hpp:6,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math.hpp:4,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/stan/model/model_header.hpp:4,
                   from file15338466b2b5f.cpp:14:
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
   static void set_zero_all_adjoints() {
               ^
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text+0xd5a): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text+0xd97): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text+0x1640): undefined reference to `rstan::stan_fit::stan_fit(SEXPREC*, int)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text$_ZN3tbb8internal26task_scheduler_observer_v3D1Ev[__ZN3tbb8internal26task_scheduler_observer_v3D1Ev]+0x18): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text$_ZN3tbb8internal26task_scheduler_observer_v3D0Ev[__ZN3tbb8internal26task_scheduler_observer_v3D0Ev]+0x1b): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text$_ZN4stan4math16ad_tape_observerD1Ev[__ZN4stan4math16ad_tape_observerD1Ev]+0x14): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text$_ZN4stan4math16ad_tape_observerD1Ev[__ZN4stan4math16ad_tape_observerD1Ev]+0x45): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text$_ZN4stan4math16ad_tape_observerD0Ev[__ZN4stan4math16ad_tape_observerD0Ev]+0x14): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
  file15338466b2b5f.o:file15338466b2b5f.cpp:(.text$_ZN4stan4math16ad_tape_observerD0Ev[__ZN4stan4math16ad_tape_observerD0Ev]+0x45): more undefined references to `tbb::internal::task_scheduler_observer_v3::observe(bool)' follow
  collect2.exe: error: ld returned 1 exit status
  
  ERROR(s) during compilation: source code errors or compiler configuration errors!
  
  Program source:
    1: 
    2: // includes from the plugin
    3: // [[Rcpp::plugins(cpp14)]]
    4: 
    5: 
    6: // user includes
    7: #include <Rcpp.h>
    8: #include <rstan/io/rlist_ref_var_context.hpp>
    9: #include <rstan/io/r_ostream.hpp>
   10: #include <rstan/stan_args.hpp>
   11: #include <boost/integer/integer_log2.hpp>
   12: // Code generated by Stan version 2.21.0
   13: 
   14: #include <stan/model/model_header.hpp>
   15: 
   16: namespace model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace {
   17: 
   18: using std::istream;
   19: using std::string;
   20: using std::stringstream;
   21: using std::vector;
   22: using stan::io::dump;
   23: using stan::math::lgamma;
   24: using stan::model::prob_grad;
   25: using namespace stan::math;
   26: 
   27: static int current_statement_begin__;
   28: 
   29: stan::io::program_reader prog_reader__() {
   30:     stan::io::program_reader reader;
   31:     reader.add_event(0, 0, "start", "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1");
   32:     reader.add_event(3, 1, "end", "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1");
   33:     return reader;
   34: }
   35: 
   36: class model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1
   37:   : public stan::model::model_base_crtp<model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1> {
   38: private:
   39:         double y_mean;
   40: public:
   41:     model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1(rstan::io::rlist_ref_var_context& context__,
   42:         std::ostream* pstream__ = 0)
   43:         : model_base_crtp(0) {
   44:         ctor_body(context__, 0, pstream__);
   45:     }
   46: 
   47:     model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1(stan::io::var_context& context__,
   48:         unsigned int random_seed__,
   49:         std::ostream* pstream__ = 0)
   50:         : model_base_crtp(0) {
   51:         ctor_body(context__, random_seed__, pstream__);
   52:     }
   53: 
   54:     void ctor_body(stan::io::var_context& context__,
   55:                    unsigned int random_seed__,
   56:                    std::ostream* pstream__) {
   57:         typedef double local_scalar_t__;
   58: 
   59:         boost::ecuyer1988 base_rng__ =
   60:           stan::services::util::create_rng(random_seed__, 0);
   61:         (void) base_rng__;  // suppress unused var warning
   62: 
   63:         current_statement_begin__ = -1;
   64: 
   65:         static const char* function__ = "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1";
   66:         (void) function__;  // dummy to suppress unused var warning
   67:         size_t pos__;
   68:         (void) pos__;  // dummy to suppress unused var warning
   69:         std::vector<int> vals_i__;
   70:         std::vector<double> vals_r__;
   71:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
   72:         (void) DUMMY_VAR__;  // suppress unused var warning
   73: 
   74:         try {
   75:             // initialize data block variables from context__
   76:             current_statement_begin__ = 1;
   77:             context__.validate_dims("data initialization", "y_mean", "double", context__.to_vec());
   78:             y_mean = double(0);
   79:             vals_r__ = context__.vals_r("y_mean");
   80:             pos__ = 0;
   81:             y_mean = vals_r__[pos__++];
   82: 
   83: 
   84:             // initialize transformed data variables
   85:             // execute transformed data statements
   86: 
   87:             // validate transformed data
   88: 
   89:             // validate, set parameter ranges
   90:             num_params_r__ = 0U;
   91:             param_ranges_i__.clear();
   92:             current_statement_begin__ = 1;
   93:             num_params_r__ += 1;
   94:         } catch (const std::exception& e) {
   95:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
   96:             // Next line prevents compiler griping about no return
   97:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
   98:         }
   99:     }
  100: 
  101:     ~model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1() { }
  102: 
  103: 
  104:     void transform_inits(const stan::io::var_context& context__,
  105:                          std::vector<int>& params_i__,
  106:                          std::vector<double>& params_r__,
  107:                          std::ostream* pstream__) const {
  108:         typedef double local_scalar_t__;
  109:         stan::io::writer<double> writer__(params_r__, params_i__);
  110:         size_t pos__;
  111:         (void) pos__; // dummy call to supress warning
  112:         std::vector<double> vals_r__;
  113:         std::vector<int> vals_i__;
  114: 
  115:         current_statement_begin__ = 1;
  116:         if (!(context__.contains_r("y")))
  117:             stan::lang::rethrow_located(std::runtime_error(std::string("Variable y missing")), current_statement_begin__, prog_reader__());
  118:         vals_r__ = context__.vals_r("y");
  119:         pos__ = 0U;
  120:         context__.validate_dims("parameter initialization", "y", "double", context__.to_vec());
  121:         double y(0);
  122:         y = vals_r__[pos__++];
  123:         try {
  124:             writer__.scalar_unconstrain(y);
  125:         } catch (const std::exception& e) {
  126:             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable y: ") + e.what()), current_statement_begin__, prog_reader__());
  127:         }
  128: 
  129:         params_r__ = writer__.data_r();
  130:         params_i__ = writer__.data_i();
  131:     }
  132: 
  133:     void transform_inits(const stan::io::var_context& context,
  134:                          Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
  135:                          std::ostream* pstream__) const {
  136:       std::vector<double> params_r_vec;
  137:       std::vector<int> params_i_vec;
  138:       transform_inits(context, params_i_vec, params_r_vec, pstream__);
  139:       params_r.resize(params_r_vec.size());
  140:       for (int i = 0; i < params_r.size(); ++i)
  141:         params_r(i) = params_r_vec[i];
  142:     }
  143: 
  144: 
  145:     template <bool propto__, bool jacobian__, typename T__>
  146:     T__ log_prob(std::vector<T__>& params_r__,
  147:                  std::vector<int>& params_i__,
  148:                  std::ostream* pstream__ = 0) const {
  149: 
  150:         typedef T__ local_scalar_t__;
  151: 
  152:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
  153:         (void) DUMMY_VAR__;  // dummy to suppress unused var warning
  154: 
  155:         T__ lp__(0.0);
  156:         stan::math::accumulator<T__> lp_accum__;
  157:         try {
  158:             stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
  159: 
  160:             // model parameters
  161:             current_statement_begin__ = 1;
  162:             local_scalar_t__ y;
  163:             (void) y;  // dummy to suppress unused var warning
  164:             if (jacobian__)
  165:                 y = in__.scalar_constrain(lp__);
  166:             else
  167:                 y = in__.scalar_constrain();
  168: 
  169:             // model body
  170: 
  171:             current_statement_begin__ = 1;
  172:             lp_accum__.add(normal_log<propto__>(y, y_mean, 1));
  173: 
  174:         } catch (const std::exception& e) {
  175:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
  176:             // Next line prevents compiler griping about no return
  177:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
  178:         }
  179: 
  180:         lp_accum__.add(lp__);
  181:         return lp_accum__.sum();
  182: 
  183:     } // log_prob()
  184: 
  185:     template <bool propto, bool jacobian, typename T_>
  186:     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
  187:                std::ostream* pstream = 0) const {
  188:       std::vector<T_> vec_params_r;
  189:       vec_params_r.reserve(params_r.size());
  190:       for (int i = 0; i < params_r.size(); ++i)
  191:         vec_params_r.push_back(params_r(i));
  192:       std::vector<int> vec_params_i;
  193:       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
  194:     }
  195: 
  196: 
  197:     void get_param_names(std::vector<std::string>& names__) const {
  198:         names__.resize(0);
  199:         names__.push_back("y");
  200:     }
  201: 
  202: 
  203:     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
  204:         dimss__.resize(0);
  205:         std::vector<size_t> dims__;
  206:         dims__.resize(0);
  207:         dimss__.push_back(dims__);
  208:     }
  209: 
  210:     template <typename RNG>
  211:     void write_array(RNG& base_rng__,
  212:                      std::vector<double>& params_r__,
  213:                      std::vector<int>& params_i__,
  214:                      std::vector<double>& vars__,
  215:                      bool include_tparams__ = true,
  216:                      bool include_gqs__ = true,
  217:                      std::ostream* pstream__ = 0) const {
  218:         typedef double local_scalar_t__;
  219: 
  220:         vars__.resize(0);
  221:         stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
  222:         static const char* function__ = "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::write_array";
  223:         (void) function__;  // dummy to suppress unused var warning
  224: 
  225:         // read-transform, write parameters
  226:         double y = in__.scalar_constrain();
  227:         vars__.push_back(y);
  228: 
  229:         double lp__ = 0.0;
  230:         (void) lp__;  // dummy to suppress unused var warning
  231:         stan::math::accumulator<double> lp_accum__;
  232: 
  233:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
  234:         (void) DUMMY_VAR__;  // suppress unused var warning
  235: 
  236:         if (!include_tparams__ && !include_gqs__) return;
  237: 
  238:         try {
  239:             if (!include_gqs__ && !include_tparams__) return;
  240:             if (!include_gqs__) return;
  241:         } catch (const std::exception& e) {
  242:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
  243:             // Next line prevents compiler griping about no return
  244:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
  245:         }
  246:     }
  247: 
  248:     template <typename RNG>
  249:     void write_array(RNG& base_rng,
  250:                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
  251:                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
  252:                      bool include_tparams = true,
  253:                      bool include_gqs = true,
  254:                      std::ostream* pstream = 0) const {
  255:       std::vector<double> params_r_vec(params_r.size());
  256:       for (int i = 0; i < params_r.size(); ++i)
  257:         params_r_vec[i] = params_r(i);
  258:       std::vector<double> vars_vec;
  259:       std::vector<int> params_i_vec;
  260:       write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
  261:       vars.resize(vars_vec.size());
  262:       for (int i = 0; i < vars.size(); ++i)
  263:         vars(i) = vars_vec[i];
  264:     }
  265: 
  266:     std::string model_name() const {
  267:         return "model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1";
  268:     }
  269: 
  270: 
  271:     void constrained_param_names(std::vector<std::string>& param_names__,
  272:                                  bool include_tparams__ = true,
  273:                                  bool include_gqs__ = true) const {
  274:         std::stringstream param_name_stream__;
  275:         param_name_stream__.str(std::string());
  276:         param_name_stream__ << "y";
  277:         param_names__.push_back(param_name_stream__.str());
  278: 
  279:         if (!include_gqs__ && !include_tparams__) return;
  280: 
  281:         if (include_tparams__) {
  282:         }
  283: 
  284:         if (!include_gqs__) return;
  285:     }
  286: 
  287: 
  288:     void unconstrained_param_names(std::vector<std::string>& param_names__,
  289:                                    bool include_tparams__ = true,
  290:                                    bool include_gqs__ = true) const {
  291:         std::stringstream param_name_stream__;
  292:         param_name_stream__.str(std::string());
  293:         param_name_stream__ << "y";
  294:         param_names__.push_back(param_name_stream__.str());
  295: 
  296:         if (!include_gqs__ && !include_tparams__) return;
  297: 
  298:         if (include_tparams__) {
  299:         }
  300: 
  301:         if (!include_gqs__) return;
  302:     }
  303: 
  304: }; // model
  305: 
  306: }  // namespace
  307: 
  308: typedef model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_namespace::model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1 stan_model;
  309: 
  310: #ifndef USING_R
  311: 
  312: stan::model::model_base& new_model(
  313:         stan::io::var_context& data_context,
  314:         unsigned int seed,
  315:         std::ostream* msg_stream) {
  316:   stan_model* m = new stan_model(data_context, seed, msg_stream);
  317:   return *m;
  318: }
  319: 
  320: #endif
  321: 
  322: 
  323: 
  324: #include <rstan_next/stan_fit.hpp>
  325: 
  326: struct stan_model_holder {
  327:     stan_model_holder(rstan::io::rlist_ref_var_context rcontext,
  328:                       unsigned int random_seed)
  329:     : rcontext_(rcontext), random_seed_(random_seed)
  330:      {
  331:      }
  332: 
  333:    //stan::math::ChainableStack ad_stack;
  334:    rstan::io::rlist_ref_var_context rcontext_;
  335:    unsigned int random_seed_;
  336: };
  337: 
  338: Rcpp::XPtr<stan::model::model_base> model_ptr(stan_model_holder* smh) {
  339:   Rcpp::XPtr<stan::model::model_base> model_instance(new stan_model(smh->rcontext_, smh->random_seed_), true);
  340:   return model_instance;
  341: }
  342: 
  343: Rcpp::XPtr<rstan::stan_fit_base> fit_ptr(stan_model_holder* smh) {
  344:   return Rcpp::XPtr<rstan::stan_fit_base>(new rstan::stan_fit(model_ptr(smh), smh->random_seed_), true);
  345: }
  346: 
  347: std::string model_name(stan_model_holder* smh) {
  348:   return model_ptr(smh).get()->model_name();
  349: }
  350: 
  351: RCPP_MODULE(stan_fit4model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1_mod){
  352:   Rcpp::class_<stan_model_holder>("stan_fit4model153381ace6e2a_73fc79f8b1915e8208c736914c86d1a1")
  353:   .constructor<rstan::io::rlist_ref_var_context, unsigned int>()
  354:   .method("model_ptr", &model_ptr)
  355:   .method("fit_ptr", &fit_ptr)
  356:   .method("model_name", &model_name)
  357:   ;
  358: }
  359: 
  360: 
  361: // declarations
  362: extern "C" {
  363: SEXP file15338466b2b5f( ) ;
  364: }
  365: 
  366: // definition
  367: 
  368: SEXP file15338466b2b5f(  ){
  369:  return Rcpp::wrap("73fc79f8b1915e8208c736914c86d1a1");
  370: }
  371: 
  372: 
  Error in compileCode(f, code, language = language, verbose = verbose) : 
    Compilation ERROR, function(s)/method(s) not created! In file included from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5:0,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat.hpp:278,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math.hpp:4,
                   from D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/src/stan/model/model_header.hpp:4,
                   from file15338466b2b5f.cpp:14:
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
  D:/temp/RtmpaWkLM3/RLIBS_31a603db52cdd/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typ
  Calls: stan_model ... <Anonymous> -> <Anonymous> -> force -> cxxfunction -> compileCode
  Execution halted