TRANSLATING MODEL '19c1c5943c1b2d98a9c111d35b7c32d6' FROM Stan CODE TO C++ CODE NOW.
successful in parsing the Stan model '19c1c5943c1b2d98a9c111d35b7c32d6'.
COMPILING THE C++ CODE FOR MODEL '19c1c5943c1b2d98a9c111d35b7c32d6' NOW.
OS: x86_64, darwin15.6.0; rstan: 2.19.2; Rcpp: 1.0.2; inline: 0.3.15 
 >> setting environment variables: 
PKG_LIBS =  -L'/Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/lib/' -lStanHeaders
PKG_CPPFLAGS =   -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/"  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/"  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/unsupported"  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/"  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/"  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS
 >> Program source :

   1 : 
   2 : // includes from the plugin
   3 : // [[Rcpp::plugins(cpp14)]]
   4 : 
   5 : // user includes
   6 : #define STAN__SERVICES__COMMAND_HPP// Code generated by Stan version 2.19.1
   7 : 
   8 : #include <stan/model/model_header.hpp>
   9 : 
  10 : namespace model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace {
  11 : 
  12 : using std::istream;
  13 : using std::string;
  14 : using std::stringstream;
  15 : using std::vector;
  16 : using stan::io::dump;
  17 : using stan::math::lgamma;
  18 : using stan::model::prob_grad;
  19 : using namespace stan::math;
  20 : 
  21 : static int current_statement_begin__;
  22 : 
  23 : stan::io::program_reader prog_reader__() {
  24 :     stan::io::program_reader reader;
  25 :     reader.add_event(0, 0, "start", "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6");
  26 :     reader.add_event(35, 33, "end", "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6");
  27 :     return reader;
  28 : }
  29 : 
  30 : template <typename T0__, typename T1__>
  31 : typename boost::math::tools::promote_args<T0__, T1__>::type
  32 : gammaCDFderiv(const T0__& alpha,
  33 :                   const T1__& x, std::ostream* pstream__);
  34 : 
  35 : template <typename T0__, typename T1__, typename T2__>
  36 : typename boost::math::tools::promote_args<T0__, T1__, T2__>::type
  37 : lgammaJacLinf(const Eigen::Matrix<T0__, Eigen::Dynamic, 1>& x,
  38 :                   const T1__& alpha,
  39 :                   const T2__& lambda, std::ostream* pstream__) {
  40 :     typedef typename boost::math::tools::promote_args<T0__, T1__, T2__>::type local_scalar_t__;
  41 :     typedef local_scalar_t__ fun_return_scalar_t__;
  42 :     const static bool propto__ = true;
  43 :     (void) propto__;
  44 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
  45 :         (void) DUMMY_VAR__;  // suppress unused var warning
  46 : 
  47 :     int current_statement_begin__ = -1;
  48 :     try {
  49 :         {
  50 :         current_statement_begin__ = 4;
  51 :         validate_non_negative_index("prob", "num_elements(x)", num_elements(x));
  52 :         Eigen::Matrix<local_scalar_t__, Eigen::Dynamic, 1> prob(num_elements(x));
  53 :         stan::math::initialize(prob, DUMMY_VAR__);
  54 :         stan::math::fill(prob, DUMMY_VAR__);
  55 : 
  56 :         current_statement_begin__ = 5;
  57 :         local_scalar_t__ my_target(DUMMY_VAR__);
  58 :         (void) my_target;  // dummy to suppress unused var warning
  59 :         stan::math::initialize(my_target, DUMMY_VAR__);
  60 :         stan::math::fill(my_target, DUMMY_VAR__);
  61 :         stan::math::assign(my_target,0);
  62 : 
  63 :         current_statement_begin__ = 6;
  64 :         local_scalar_t__ num_elem(DUMMY_VAR__);
  65 :         (void) num_elem;  // dummy to suppress unused var warning
  66 :         stan::math::initialize(num_elem, DUMMY_VAR__);
  67 :         stan::math::fill(num_elem, DUMMY_VAR__);
  68 :         stan::math::assign(num_elem,num_elements(x));
  69 : 
  70 : 
  71 :         current_statement_begin__ = 7;
  72 :         for (int i = 2; i <= num_elements(x); ++i) {
  73 : 
  74 :             current_statement_begin__ = 8;
  75 :             for (int j = 1; j <= i; ++j) {
  76 :                 {
  77 :                 current_statement_begin__ = 9;
  78 :                 local_scalar_t__ gam_1(DUMMY_VAR__);
  79 :                 (void) gam_1;  // dummy to suppress unused var warning
  80 :                 stan::math::initialize(gam_1, DUMMY_VAR__);
  81 :                 stan::math::fill(gam_1, DUMMY_VAR__);
  82 :                 stan::math::assign(gam_1,gammaCDFderiv(alpha, (lambda * get_base1(x, j, "x", 1)), pstream__));
  83 : 
  84 :                 current_statement_begin__ = 10;
  85 :                 local_scalar_t__ gam_2(DUMMY_VAR__);
  86 :                 (void) gam_2;  // dummy to suppress unused var warning
  87 :                 stan::math::initialize(gam_2, DUMMY_VAR__);
  88 :                 stan::math::fill(gam_2, DUMMY_VAR__);
  89 :                 stan::math::assign(gam_2,gammaCDFderiv(alpha, (lambda * get_base1(x, i, "x", 1)), pstream__));
  90 : 
  91 :                 current_statement_begin__ = 11;
  92 :                 local_scalar_t__ gamma_term(DUMMY_VAR__);
  93 :                 (void) gamma_term;  // dummy to suppress unused var warning
  94 :                 stan::math::initialize(gamma_term, DUMMY_VAR__);
  95 :                 stan::math::fill(gamma_term, DUMMY_VAR__);
  96 :                 stan::math::assign(gamma_term,stan::math::tgamma((alpha + 1)));
  97 : 
  98 :                 current_statement_begin__ = 12;
  99 :                 local_scalar_t__ denom_1(DUMMY_VAR__);
 100 :                 (void) denom_1;  // dummy to suppress unused var warning
 101 :                 stan::math::initialize(denom_1, DUMMY_VAR__);
 102 :                 stan::math::fill(denom_1, DUMMY_VAR__);
 103 :                 stan::math::assign(denom_1,(pow((lambda * get_base1(x, j, "x", 1)), alpha) * stan::math::exp((-(lambda) * get_base1(x, j, "x", 1)))));
 104 : 
 105 :                 current_statement_begin__ = 13;
 106 :                 local_scalar_t__ denom_2(DUMMY_VAR__);
 107 :                 (void) denom_2;  // dummy to suppress unused var warning
 108 :                 stan::math::initialize(denom_2, DUMMY_VAR__);
 109 :                 stan::math::fill(denom_2, DUMMY_VAR__);
 110 :                 stan::math::assign(denom_2,(pow((lambda * get_base1(x, i, "x", 1)), alpha) * stan::math::exp((-(lambda) * get_base1(x, i, "x", 1)))));
 111 : 
 112 :                 current_statement_begin__ = 14;
 113 :                 local_scalar_t__ term_1(DUMMY_VAR__);
 114 :                 (void) term_1;  // dummy to suppress unused var warning
 115 :                 stan::math::initialize(term_1, DUMMY_VAR__);
 116 :                 stan::math::fill(term_1, DUMMY_VAR__);
 117 :                 stan::math::assign(term_1,((gamma_term * gam_1) / denom_1));
 118 : 
 119 :                 current_statement_begin__ = 15;
 120 :                 local_scalar_t__ term_2(DUMMY_VAR__);
 121 :                 (void) term_2;  // dummy to suppress unused var warning
 122 :                 stan::math::initialize(term_2, DUMMY_VAR__);
 123 :                 stan::math::fill(term_2, DUMMY_VAR__);
 124 :                 stan::math::assign(term_2,((gamma_term * gam_2) / denom_2));
 125 : 
 126 : 
 127 :                 current_statement_begin__ = 16;
 128 :                 stan::math::assign(my_target, (my_target + ((get_base1(x, i, "x", 1) * get_base1(x, j, "x", 1)) * stan::math::fabs((term_1 - term_2)))));
 129 :                 }
 130 :             }
 131 :         }
 132 :         current_statement_begin__ = 19;
 133 :         return stan::math::promote_scalar<fun_return_scalar_t__>(stan::math::log((pow((lambda * alpha), -(1)) * my_target)));
 134 :         }
 135 :     } catch (const std::exception& e) {
 136 :         stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 137 :         // Next line prevents compiler griping about no return
 138 :         throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 139 :     }
 140 : }
 141 : 
 142 : 
 143 : struct lgammaJacLinf_functor__ {
 144 :     template <typename T0__, typename T1__, typename T2__>
 145 :         typename boost::math::tools::promote_args<T0__, T1__, T2__>::type
 146 :     operator()(const Eigen::Matrix<T0__, Eigen::Dynamic, 1>& x,
 147 :                   const T1__& alpha,
 148 :                   const T2__& lambda, std::ostream* pstream__) const {
 149 :         return lgammaJacLinf(x, alpha, lambda, pstream__);
 150 :     }
 151 : };
 152 : 
 153 : 
 154 : #include "/Users/murph/Documents/Research/EAS_GFD/stan.hpp"
 155 :  class model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6 : public prob_grad {
 156 : private:
 157 :         int N;
 158 :         vector_d y;
 159 : public:
 160 :     model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6(stan::io::var_context& context__,
 161 :         std::ostream* pstream__ = 0)
 162 :         : prob_grad(0) {
 163 :         ctor_body(context__, 0, pstream__);
 164 :     }
 165 : 
 166 :     model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6(stan::io::var_context& context__,
 167 :         unsigned int random_seed__,
 168 :         std::ostream* pstream__ = 0)
 169 :         : prob_grad(0) {
 170 :         ctor_body(context__, random_seed__, pstream__);
 171 :     }
 172 : 
 173 :     void ctor_body(stan::io::var_context& context__,
 174 :                    unsigned int random_seed__,
 175 :                    std::ostream* pstream__) {
 176 :         typedef double local_scalar_t__;
 177 : 
 178 :         boost::ecuyer1988 base_rng__ =
 179 :           stan::services::util::create_rng(random_seed__, 0);
 180 :         (void) base_rng__;  // suppress unused var warning
 181 : 
 182 :         current_statement_begin__ = -1;
 183 : 
 184 :         static const char* function__ = "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6";
 185 :         (void) function__;  // dummy to suppress unused var warning
 186 :         size_t pos__;
 187 :         (void) pos__;  // dummy to suppress unused var warning
 188 :         std::vector<int> vals_i__;
 189 :         std::vector<double> vals_r__;
 190 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 191 :         (void) DUMMY_VAR__;  // suppress unused var warning
 192 : 
 193 :         try {
 194 :             // initialize data block variables from context__
 195 :             current_statement_begin__ = 23;
 196 :             context__.validate_dims("data initialization", "N", "int", context__.to_vec());
 197 :             N = int(0);
 198 :             vals_i__ = context__.vals_i("N");
 199 :             pos__ = 0;
 200 :             N = vals_i__[pos__++];
 201 :             check_greater_or_equal(function__, "N", N, 1);
 202 : 
 203 :             current_statement_begin__ = 24;
 204 :             validate_non_negative_index("y", "N", N);
 205 :             context__.validate_dims("data initialization", "y", "vector_d", context__.to_vec(N));
 206 :             y = Eigen::Matrix<double, Eigen::Dynamic, 1>(N);
 207 :             vals_r__ = context__.vals_r("y");
 208 :             pos__ = 0;
 209 :             size_t y_j_1_max__ = N;
 210 :             for (size_t j_1__ = 0; j_1__ < y_j_1_max__; ++j_1__) {
 211 :                 y(j_1__) = vals_r__[pos__++];
 212 :             }
 213 : 
 214 : 
 215 :             // initialize transformed data variables
 216 :             // execute transformed data statements
 217 : 
 218 :             // validate transformed data
 219 : 
 220 :             // validate, set parameter ranges
 221 :             num_params_r__ = 0U;
 222 :             param_ranges_i__.clear();
 223 :             current_statement_begin__ = 27;
 224 :             num_params_r__ += 1;
 225 :             current_statement_begin__ = 28;
 226 :             num_params_r__ += 1;
 227 :         } catch (const std::exception& e) {
 228 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 229 :             // Next line prevents compiler griping about no return
 230 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 231 :         }
 232 :     }
 233 : 
 234 :     ~model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6() { }
 235 : 
 236 : 
 237 :     void transform_inits(const stan::io::var_context& context__,
 238 :                          std::vector<int>& params_i__,
 239 :                          std::vector<double>& params_r__,
 240 :                          std::ostream* pstream__) const {
 241 :         typedef double local_scalar_t__;
 242 :         stan::io::writer<double> writer__(params_r__, params_i__);
 243 :         size_t pos__;
 244 :         (void) pos__; // dummy call to supress warning
 245 :         std::vector<double> vals_r__;
 246 :         std::vector<int> vals_i__;
 247 : 
 248 :         current_statement_begin__ = 27;
 249 :         if (!(context__.contains_r("alpha")))
 250 :             stan::lang::rethrow_located(std::runtime_error(std::string("Variable alpha missing")), current_statement_begin__, prog_reader__());
 251 :         vals_r__ = context__.vals_r("alpha");
 252 :         pos__ = 0U;
 253 :         context__.validate_dims("parameter initialization", "alpha", "double", context__.to_vec());
 254 :         double alpha(0);
 255 :         alpha = vals_r__[pos__++];
 256 :         try {
 257 :             writer__.scalar_lb_unconstrain(0, alpha);
 258 :         } catch (const std::exception& e) {
 259 :             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable alpha: ") + e.what()), current_statement_begin__, prog_reader__());
 260 :         }
 261 : 
 262 :         current_statement_begin__ = 28;
 263 :         if (!(context__.contains_r("lambda")))
 264 :             stan::lang::rethrow_located(std::runtime_error(std::string("Variable lambda missing")), current_statement_begin__, prog_reader__());
 265 :         vals_r__ = context__.vals_r("lambda");
 266 :         pos__ = 0U;
 267 :         context__.validate_dims("parameter initialization", "lambda", "double", context__.to_vec());
 268 :         double lambda(0);
 269 :         lambda = vals_r__[pos__++];
 270 :         try {
 271 :             writer__.scalar_lb_unconstrain(0, lambda);
 272 :         } catch (const std::exception& e) {
 273 :             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable lambda: ") + e.what()), current_statement_begin__, prog_reader__());
 274 :         }
 275 : 
 276 :         params_r__ = writer__.data_r();
 277 :         params_i__ = writer__.data_i();
 278 :     }
 279 : 
 280 :     void transform_inits(const stan::io::var_context& context,
 281 :                          Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
 282 :                          std::ostream* pstream__) const {
 283 :       std::vector<double> params_r_vec;
 284 :       std::vector<int> params_i_vec;
 285 :       transform_inits(context, params_i_vec, params_r_vec, pstream__);
 286 :       params_r.resize(params_r_vec.size());
 287 :       for (int i = 0; i < params_r.size(); ++i)
 288 :         params_r(i) = params_r_vec[i];
 289 :     }
 290 : 
 291 : 
 292 :     template <bool propto__, bool jacobian__, typename T__>
 293 :     T__ log_prob(std::vector<T__>& params_r__,
 294 :                  std::vector<int>& params_i__,
 295 :                  std::ostream* pstream__ = 0) const {
 296 : 
 297 :         typedef T__ local_scalar_t__;
 298 : 
 299 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 300 :         (void) DUMMY_VAR__;  // dummy to suppress unused var warning
 301 : 
 302 :         T__ lp__(0.0);
 303 :         stan::math::accumulator<T__> lp_accum__;
 304 :         try {
 305 :             stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
 306 : 
 307 :             // model parameters
 308 :             current_statement_begin__ = 27;
 309 :             local_scalar_t__ alpha;
 310 :             (void) alpha;  // dummy to suppress unused var warning
 311 :             if (jacobian__)
 312 :                 alpha = in__.scalar_lb_constrain(0, lp__);
 313 :             else
 314 :                 alpha = in__.scalar_lb_constrain(0);
 315 : 
 316 :             current_statement_begin__ = 28;
 317 :             local_scalar_t__ lambda;
 318 :             (void) lambda;  // dummy to suppress unused var warning
 319 :             if (jacobian__)
 320 :                 lambda = in__.scalar_lb_constrain(0, lp__);
 321 :             else
 322 :                 lambda = in__.scalar_lb_constrain(0);
 323 : 
 324 :             // model body
 325 : 
 326 :             current_statement_begin__ = 31;
 327 :             lp_accum__.add(gamma_lpdf<propto__>(y, alpha, (1 / lambda)));
 328 :             current_statement_begin__ = 32;
 329 :             lp_accum__.add(lgammaJacLinf(y, alpha, lambda, pstream__));
 330 : 
 331 :         } catch (const std::exception& e) {
 332 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 333 :             // Next line prevents compiler griping about no return
 334 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 335 :         }
 336 : 
 337 :         lp_accum__.add(lp__);
 338 :         return lp_accum__.sum();
 339 : 
 340 :     } // log_prob()
 341 : 
 342 :     template <bool propto, bool jacobian, typename T_>
 343 :     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
 344 :                std::ostream* pstream = 0) const {
 345 :       std::vector<T_> vec_params_r;
 346 :       vec_params_r.reserve(params_r.size());
 347 :       for (int i = 0; i < params_r.size(); ++i)
 348 :         vec_params_r.push_back(params_r(i));
 349 :       std::vector<int> vec_params_i;
 350 :       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
 351 :     }
 352 : 
 353 : 
 354 :     void get_param_names(std::vector<std::string>& names__) const {
 355 :         names__.resize(0);
 356 :         names__.push_back("alpha");
 357 :         names__.push_back("lambda");
 358 :     }
 359 : 
 360 : 
 361 :     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
 362 :         dimss__.resize(0);
 363 :         std::vector<size_t> dims__;
 364 :         dims__.resize(0);
 365 :         dimss__.push_back(dims__);
 366 :         dims__.resize(0);
 367 :         dimss__.push_back(dims__);
 368 :     }
 369 : 
 370 :     template <typename RNG>
 371 :     void write_array(RNG& base_rng__,
 372 :                      std::vector<double>& params_r__,
 373 :                      std::vector<int>& params_i__,
 374 :                      std::vector<double>& vars__,
 375 :                      bool include_tparams__ = true,
 376 :                      bool include_gqs__ = true,
 377 :                      std::ostream* pstream__ = 0) const {
 378 :         typedef double local_scalar_t__;
 379 : 
 380 :         vars__.resize(0);
 381 :         stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
 382 :         static const char* function__ = "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::write_array";
 383 :         (void) function__;  // dummy to suppress unused var warning
 384 : 
 385 :         // read-transform, write parameters
 386 :         double alpha = in__.scalar_lb_constrain(0);
 387 :         vars__.push_back(alpha);
 388 : 
 389 :         double lambda = in__.scalar_lb_constrain(0);
 390 :         vars__.push_back(lambda);
 391 : 
 392 :         double lp__ = 0.0;
 393 :         (void) lp__;  // dummy to suppress unused var warning
 394 :         stan::math::accumulator<double> lp_accum__;
 395 : 
 396 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 397 :         (void) DUMMY_VAR__;  // suppress unused var warning
 398 : 
 399 :         if (!include_tparams__ && !include_gqs__) return;
 400 : 
 401 :         try {
 402 :             if (!include_gqs__ && !include_tparams__) return;
 403 :             if (!include_gqs__) return;
 404 :         } catch (const std::exception& e) {
 405 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 406 :             // Next line prevents compiler griping about no return
 407 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 408 :         }
 409 :     }
 410 : 
 411 :     template <typename RNG>
 412 :     void write_array(RNG& base_rng,
 413 :                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
 414 :                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
 415 :                      bool include_tparams = true,
 416 :                      bool include_gqs = true,
 417 :                      std::ostream* pstream = 0) const {
 418 :       std::vector<double> params_r_vec(params_r.size());
 419 :       for (int i = 0; i < params_r.size(); ++i)
 420 :         params_r_vec[i] = params_r(i);
 421 :       std::vector<double> vars_vec;
 422 :       std::vector<int> params_i_vec;
 423 :       write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
 424 :       vars.resize(vars_vec.size());
 425 :       for (int i = 0; i < vars.size(); ++i)
 426 :         vars(i) = vars_vec[i];
 427 :     }
 428 : 
 429 :     static std::string model_name() {
 430 :         return "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6";
 431 :     }
 432 : 
 433 : 
 434 :     void constrained_param_names(std::vector<std::string>& param_names__,
 435 :                                  bool include_tparams__ = true,
 436 :                                  bool include_gqs__ = true) const {
 437 :         std::stringstream param_name_stream__;
 438 :         param_name_stream__.str(std::string());
 439 :         param_name_stream__ << "alpha";
 440 :         param_names__.push_back(param_name_stream__.str());
 441 :         param_name_stream__.str(std::string());
 442 :         param_name_stream__ << "lambda";
 443 :         param_names__.push_back(param_name_stream__.str());
 444 : 
 445 :         if (!include_gqs__ && !include_tparams__) return;
 446 : 
 447 :         if (include_tparams__) {
 448 :         }
 449 : 
 450 :         if (!include_gqs__) return;
 451 :     }
 452 : 
 453 : 
 454 :     void unconstrained_param_names(std::vector<std::string>& param_names__,
 455 :                                    bool include_tparams__ = true,
 456 :                                    bool include_gqs__ = true) const {
 457 :         std::stringstream param_name_stream__;
 458 :         param_name_stream__.str(std::string());
 459 :         param_name_stream__ << "alpha";
 460 :         param_names__.push_back(param_name_stream__.str());
 461 :         param_name_stream__.str(std::string());
 462 :         param_name_stream__ << "lambda";
 463 :         param_names__.push_back(param_name_stream__.str());
 464 : 
 465 :         if (!include_gqs__ && !include_tparams__) return;
 466 : 
 467 :         if (include_tparams__) {
 468 :         }
 469 : 
 470 :         if (!include_gqs__) return;
 471 :     }
 472 : 
 473 : }; // model
 474 : 
 475 : }  // namespace
 476 : 
 477 : typedef model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6 stan_model;
 478 : 
 479 : #include <rstan/rstaninc.hpp>
 480 : /**
 481 :  * Define Rcpp Module to expose stan_fit's functions to R.
 482 :  */
 483 : RCPP_MODULE(stan_fit4model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_mod){
 484 :   Rcpp::class_<rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6,
 485 :                boost::random::ecuyer1988> >("stan_fit4model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6")
 486 :     // .constructor<Rcpp::List>()
 487 :     .constructor<SEXP, SEXP, SEXP>()
 488 :     // .constructor<SEXP, SEXP>()
 489 :     .method("call_sampler",
 490 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::call_sampler)
 491 :     .method("param_names",
 492 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_names)
 493 :     .method("param_names_oi",
 494 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_names_oi)
 495 :     .method("param_fnames_oi",
 496 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_fnames_oi)
 497 :     .method("param_dims",
 498 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_dims)
 499 :     .method("param_dims_oi",
 500 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_dims_oi)
 501 :     .method("update_param_oi",
 502 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::update_param_oi)
 503 :     .method("param_oi_tidx",
 504 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_oi_tidx)
 505 :     .method("grad_log_prob",
 506 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::grad_log_prob)
 507 :     .method("log_prob",
 508 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::log_prob)
 509 :     .method("unconstrain_pars",
 510 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::unconstrain_pars)
 511 :     .method("constrain_pars",
 512 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::constrain_pars)
 513 :     .method("num_pars_unconstrained",
 514 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::num_pars_unconstrained)
 515 :     .method("unconstrained_param_names",
 516 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::unconstrained_param_names)
 517 :     .method("constrained_param_names",
 518 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::constrained_param_names)
 519 :     .method("standalone_gqs",
 520 :             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::standalone_gqs)
 521 :   ;
 522 : }
 523 : 
 524 : // declarations
 525 : extern "C" {
 526 : SEXP file13546780f2ee( ) ;
 527 : }
 528 : 
 529 : // definition
 530 : 
 531 : SEXP file13546780f2ee(  ){
 532 :  return Rcpp::wrap("19c1c5943c1b2d98a9c111d35b7c32d6");
 533 : }
 534 : 
 535 : 
Compilation argument:
 /Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB file13546780f2ee.cpp 2> file13546780f2ee.cpp.err.txt 
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:96:
In file included from /Library/Developer/CommandLineTools/usr/include/c++/v1/complex:246:
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:313:9: error: no member named 'signbit' in the global namespace
using ::signbit;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:314:9: error: no member named 'fpclassify' in the global namespace
using ::fpclassify;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:315:9: error: no member named 'isfinite' in the global namespace; did you mean 'finite'?
using ::isfinite;
      ~~^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/math.h:749:12: note: 'finite' declared here
extern int finite(double)
           ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:96:
In file included from /Library/Developer/CommandLineTools/usr/include/c++/v1/complex:246:
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:316:9: error: no member named 'isinf' in the global namespace
using ::isinf;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:317:9: error: no member named 'isnan' in the global namespace
using ::isnan;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:318:9: error: no member named 'isnormal' in the global namespace
using ::isnormal;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:319:7: error: no member named 'isgreater' in the global namespace; did you mean '::std::greater'?
using ::isgreater;
      ^~
/Library/Developer/CommandLineTools/usr/include/c++/v1/functional:720:29: note: '::std::greater' declared here
struct _LIBCPP_TEMPLATE_VIS greater : binary_function<_Tp, _Tp, bool>
                            ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:96:
In file included from /Library/Developer/CommandLineTools/usr/include/c++/v1/complex:246:
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:320:7: error: no member named 'isgreaterequal' in the global namespace; did you mean '::std::greater_equal'?
using ::isgreaterequal;
      ^~
/Library/Developer/CommandLineTools/usr/include/c++/v1/functional:749:29: note: '::std::greater_equal' declared here
struct _LIBCPP_TEMPLATE_VIS greater_equal : binary_function<_Tp, _Tp, bool>
                            ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:96:
In file included from /Library/Developer/CommandLineTools/usr/include/c++/v1/complex:246:
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:321:9: error: no member named 'isless' in the global namespace
using ::isless;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:322:9: error: no member named 'islessequal' in the global namespace
using ::islessequal;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:323:9: error: no member named 'islessgreater' in the global namespace
using ::islessgreater;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:324:9: error: no member named 'isunordered' in the global namespace
using ::isunordered;
      ~~^
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:325:9: error: no member named 'isunordered' in the global namespace
using ::isunordered;
      ~~^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:371:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/MathFunctions.h:712:16: error: no member named 'isfinite' in namespace 'std'; did you mean 'finite'?
    using std::isfinite;
          ~~~~~^~~~~~~~
               finite
/Library/Developer/CommandLineTools/usr/include/c++/v1/cmath:315:9: note: 'finite' declared here
using ::isfinite;
        ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:371:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/MathFunctions.h:727:16: error: no member named 'isinf' in namespace 'std'
    using std::isinf;
          ~~~~~^
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/MathFunctions.h:742:16: error: no member named 'isnan' in namespace 'std'
    using std::isnan;
          ~~~~~^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Core:535:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:2:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/LU:47:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:3:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Cholesky:12:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Jacobi:29:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:3:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Cholesky:43:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/QR:17:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Householder:27:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/SVD:48:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:6:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Geometry:58:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:5:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/build_vari_array.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Dense:7:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/Eigenvalues:58:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas]
    #pragma clang diagnostic pop
                             ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:17:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:7:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/scal/fun/is_nan.hpp:17:44: error: expected unqualified-id
inline bool is_nan(double x) { return std::isnan(x); }
                                           ^
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/math.h:165:5: note: expanded from macro 'isnan'
    ( sizeof(x) == sizeof(float)  ? __inline_isnanf((float)(x))          \
    ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:37:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/constants/constants.hpp:13:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/tools/convert_from_string.hpp:15:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast.hpp:32:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/try_lexical_convert.hpp:44:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:63:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/detail/inf_nan.hpp:34:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/special_functions/sign.hpp:30:17: error: no member named 'signbit' in namespace 'std'; did you mean simply 'signbit'?
        return (std::signbit)(x) ? 1 : 0;
                ^~~~~~~~~~~~
                signbit
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/special_functions/math_fwd.hpp:891:8: note: 'signbit' declared here
   int signbit BOOST_NO_MACRO_EXPAND(T x);
       ^
In file included from file13546780f2ee.cpp:8:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/src/stan/model/model_header.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/mat.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core.hpp:37:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/constants/constants.hpp:13:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/tools/convert_from_string.hpp:15:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast.hpp:32:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/try_lexical_convert.hpp:44:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:63:
In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/lexical_cast/detail/inf_nan.hpp:35:
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/special_functions/fpclassify.hpp:155:12: error: no member named 'fpclassify' in namespace 'std'; did you mean simply 'fpclassify'?
   return (std::fpclassify)(t);
           ^~~~~~~~~~~~~~~
           fpclassify
/Library/Frameworks/R.framework/Versions/3.5/Resources/library/BH/include/boost/math/special_functions/math_fwd.hpp:876:8: note: 'fpclassify' declared here
   int fpclassify BOOST_NO_MACRO_EXPAND(T t);
       ^
fatal error: too many errors emitted, stopping now [-ferror-limit=]
8 warnings and 20 errors generated.
make: *** [file13546780f2ee.o] Error 1

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: // user includes
  6: #define STAN__SERVICES__COMMAND_HPP// Code generated by Stan version 2.19.1
  7: 
  8: #include <stan/model/model_header.hpp>
  9: 
 10: namespace model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace {
 11: 
 12: using std::istream;
 13: using std::string;
 14: using std::stringstream;
 15: using std::vector;
 16: using stan::io::dump;
 17: using stan::math::lgamma;
 18: using stan::model::prob_grad;
 19: using namespace stan::math;
 20: 
 21: static int current_statement_begin__;
 22: 
 23: stan::io::program_reader prog_reader__() {
 24:     stan::io::program_reader reader;
 25:     reader.add_event(0, 0, "start", "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6");
 26:     reader.add_event(35, 33, "end", "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6");
 27:     return reader;
 28: }
 29: 
 30: template <typename T0__, typename T1__>
 31: typename boost::math::tools::promote_args<T0__, T1__>::type
 32: gammaCDFderiv(const T0__& alpha,
 33:                   const T1__& x, std::ostream* pstream__);
 34: 
 35: template <typename T0__, typename T1__, typename T2__>
 36: typename boost::math::tools::promote_args<T0__, T1__, T2__>::type
 37: lgammaJacLinf(const Eigen::Matrix<T0__, Eigen::Dynamic, 1>& x,
 38:                   const T1__& alpha,
 39:                   const T2__& lambda, std::ostream* pstream__) {
 40:     typedef typename boost::math::tools::promote_args<T0__, T1__, T2__>::type local_scalar_t__;
 41:     typedef local_scalar_t__ fun_return_scalar_t__;
 42:     const static bool propto__ = true;
 43:     (void) propto__;
 44:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 45:         (void) DUMMY_VAR__;  // suppress unused var warning
 46: 
 47:     int current_statement_begin__ = -1;
 48:     try {
 49:         {
 50:         current_statement_begin__ = 4;
 51:         validate_non_negative_index("prob", "num_elements(x)", num_elements(x));
 52:         Eigen::Matrix<local_scalar_t__, Eigen::Dynamic, 1> prob(num_elements(x));
 53:         stan::math::initialize(prob, DUMMY_VAR__);
 54:         stan::math::fill(prob, DUMMY_VAR__);
 55: 
 56:         current_statement_begin__ = 5;
 57:         local_scalar_t__ my_target(DUMMY_VAR__);
 58:         (void) my_target;  // dummy to suppress unused var warning
 59:         stan::math::initialize(my_target, DUMMY_VAR__);
 60:         stan::math::fill(my_target, DUMMY_VAR__);
 61:         stan::math::assign(my_target,0);
 62: 
 63:         current_statement_begin__ = 6;
 64:         local_scalar_t__ num_elem(DUMMY_VAR__);
 65:         (void) num_elem;  // dummy to suppress unused var warning
 66:         stan::math::initialize(num_elem, DUMMY_VAR__);
 67:         stan::math::fill(num_elem, DUMMY_VAR__);
 68:         stan::math::assign(num_elem,num_elements(x));
 69: 
 70: 
 71:         current_statement_begin__ = 7;
 72:         for (int i = 2; i <= num_elements(x); ++i) {
 73: 
 74:             current_statement_begin__ = 8;
 75:             for (int j = 1; j <= i; ++j) {
 76:                 {
 77:                 current_statement_begin__ = 9;
 78:                 local_scalar_t__ gam_1(DUMMY_VAR__);
 79:                 (void) gam_1;  // dummy to suppress unused var warning
 80:                 stan::math::initialize(gam_1, DUMMY_VAR__);
 81:                 stan::math::fill(gam_1, DUMMY_VAR__);
 82:                 stan::math::assign(gam_1,gammaCDFderiv(alpha, (lambda * get_base1(x, j, "x", 1)), pstream__));
 83: 
 84:                 current_statement_begin__ = 10;
 85:                 local_scalar_t__ gam_2(DUMMY_VAR__);
 86:                 (void) gam_2;  // dummy to suppress unused var warning
 87:                 stan::math::initialize(gam_2, DUMMY_VAR__);
 88:                 stan::math::fill(gam_2, DUMMY_VAR__);
 89:                 stan::math::assign(gam_2,gammaCDFderiv(alpha, (lambda * get_base1(x, i, "x", 1)), pstream__));
 90: 
 91:                 current_statement_begin__ = 11;
 92:                 local_scalar_t__ gamma_term(DUMMY_VAR__);
 93:                 (void) gamma_term;  // dummy to suppress unused var warning
 94:                 stan::math::initialize(gamma_term, DUMMY_VAR__);
 95:                 stan::math::fill(gamma_term, DUMMY_VAR__);
 96:                 stan::math::assign(gamma_term,stan::math::tgamma((alpha + 1)));
 97: 
 98:                 current_statement_begin__ = 12;
 99:                 local_scalar_t__ denom_1(DUMMY_VAR__);
100:                 (void) denom_1;  // dummy to suppress unused var warning
101:                 stan::math::initialize(denom_1, DUMMY_VAR__);
102:                 stan::math::fill(denom_1, DUMMY_VAR__);
103:                 stan::math::assign(denom_1,(pow((lambda * get_base1(x, j, "x", 1)), alpha) * stan::math::exp((-(lambda) * get_base1(x, j, "x", 1)))));
104: 
105:                 current_statement_begin__ = 13;
106:                 local_scalar_t__ denom_2(DUMMY_VAR__);
107:                 (void) denom_2;  // dummy to suppress unused var warning
108:                 stan::math::initialize(denom_2, DUMMY_VAR__);
109:                 stan::math::fill(denom_2, DUMMY_VAR__);
110:                 stan::math::assign(denom_2,(pow((lambda * get_base1(x, i, "x", 1)), alpha) * stan::math::exp((-(lambda) * get_base1(x, i, "x", 1)))));
111: 
112:                 current_statement_begin__ = 14;
113:                 local_scalar_t__ term_1(DUMMY_VAR__);
114:                 (void) term_1;  // dummy to suppress unused var warning
115:                 stan::math::initialize(term_1, DUMMY_VAR__);
116:                 stan::math::fill(term_1, DUMMY_VAR__);
117:                 stan::math::assign(term_1,((gamma_term * gam_1) / denom_1));
118: 
119:                 current_statement_begin__ = 15;
120:                 local_scalar_t__ term_2(DUMMY_VAR__);
121:                 (void) term_2;  // dummy to suppress unused var warning
122:                 stan::math::initialize(term_2, DUMMY_VAR__);
123:                 stan::math::fill(term_2, DUMMY_VAR__);
124:                 stan::math::assign(term_2,((gamma_term * gam_2) / denom_2));
125: 
126: 
127:                 current_statement_begin__ = 16;
128:                 stan::math::assign(my_target, (my_target + ((get_base1(x, i, "x", 1) * get_base1(x, j, "x", 1)) * stan::math::fabs((term_1 - term_2)))));
129:                 }
130:             }
131:         }
132:         current_statement_begin__ = 19;
133:         return stan::math::promote_scalar<fun_return_scalar_t__>(stan::math::log((pow((lambda * alpha), -(1)) * my_target)));
134:         }
135:     } catch (const std::exception& e) {
136:         stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
137:         // Next line prevents compiler griping about no return
138:         throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
139:     }
140: }
141: 
142: 
143: struct lgammaJacLinf_functor__ {
144:     template <typename T0__, typename T1__, typename T2__>
145:         typename boost::math::tools::promote_args<T0__, T1__, T2__>::type
146:     operator()(const Eigen::Matrix<T0__, Eigen::Dynamic, 1>& x,
147:                   const T1__& alpha,
148:                   const T2__& lambda, std::ostream* pstream__) const {
149:         return lgammaJacLinf(x, alpha, lambda, pstream__);
150:     }
151: };
152: 
153: 
154: #include "/Users/murph/Documents/Research/EAS_GFD/stan.hpp"
155:  class model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6 : public prob_grad {
156: private:
157:         int N;
158:         vector_d y;
159: public:
160:     model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6(stan::io::var_context& context__,
161:         std::ostream* pstream__ = 0)
162:         : prob_grad(0) {
163:         ctor_body(context__, 0, pstream__);
164:     }
165: 
166:     model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6(stan::io::var_context& context__,
167:         unsigned int random_seed__,
168:         std::ostream* pstream__ = 0)
169:         : prob_grad(0) {
170:         ctor_body(context__, random_seed__, pstream__);
171:     }
172: 
173:     void ctor_body(stan::io::var_context& context__,
174:                    unsigned int random_seed__,
175:                    std::ostream* pstream__) {
176:         typedef double local_scalar_t__;
177: 
178:         boost::ecuyer1988 base_rng__ =
179:           stan::services::util::create_rng(random_seed__, 0);
180:         (void) base_rng__;  // suppress unused var warning
181: 
182:         current_statement_begin__ = -1;
183: 
184:         static const char* function__ = "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6";
185:         (void) function__;  // dummy to suppress unused var warning
186:         size_t pos__;
187:         (void) pos__;  // dummy to suppress unused var warning
188:         std::vector<int> vals_i__;
189:         std::vector<double> vals_r__;
190:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
191:         (void) DUMMY_VAR__;  // suppress unused var warning
192: 
193:         try {
194:             // initialize data block variables from context__
195:             current_statement_begin__ = 23;
196:             context__.validate_dims("data initialization", "N", "int", context__.to_vec());
197:             N = int(0);
198:             vals_i__ = context__.vals_i("N");
199:             pos__ = 0;
200:             N = vals_i__[pos__++];
201:             check_greater_or_equal(function__, "N", N, 1);
202: 
203:             current_statement_begin__ = 24;
204:             validate_non_negative_index("y", "N", N);
205:             context__.validate_dims("data initialization", "y", "vector_d", context__.to_vec(N));
206:             y = Eigen::Matrix<double, Eigen::Dynamic, 1>(N);
207:             vals_r__ = context__.vals_r("y");
208:             pos__ = 0;
209:             size_t y_j_1_max__ = N;
210:             for (size_t j_1__ = 0; j_1__ < y_j_1_max__; ++j_1__) {
211:                 y(j_1__) = vals_r__[pos__++];
212:             }
213: 
214: 
215:             // initialize transformed data variables
216:             // execute transformed data statements
217: 
218:             // validate transformed data
219: 
220:             // validate, set parameter ranges
221:             num_params_r__ = 0U;
222:             param_ranges_i__.clear();
223:             current_statement_begin__ = 27;
224:             num_params_r__ += 1;
225:             current_statement_begin__ = 28;
226:             num_params_r__ += 1;
227:         } catch (const std::exception& e) {
228:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
229:             // Next line prevents compiler griping about no return
230:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
231:         }
232:     }
233: 
234:     ~model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6() { }
235: 
236: 
237:     void transform_inits(const stan::io::var_context& context__,
238:                          std::vector<int>& params_i__,
239:                          std::vector<double>& params_r__,
240:                          std::ostream* pstream__) const {
241:         typedef double local_scalar_t__;
242:         stan::io::writer<double> writer__(params_r__, params_i__);
243:         size_t pos__;
244:         (void) pos__; // dummy call to supress warning
245:         std::vector<double> vals_r__;
246:         std::vector<int> vals_i__;
247: 
248:         current_statement_begin__ = 27;
249:         if (!(context__.contains_r("alpha")))
250:             stan::lang::rethrow_located(std::runtime_error(std::string("Variable alpha missing")), current_statement_begin__, prog_reader__());
251:         vals_r__ = context__.vals_r("alpha");
252:         pos__ = 0U;
253:         context__.validate_dims("parameter initialization", "alpha", "double", context__.to_vec());
254:         double alpha(0);
255:         alpha = vals_r__[pos__++];
256:         try {
257:             writer__.scalar_lb_unconstrain(0, alpha);
258:         } catch (const std::exception& e) {
259:             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable alpha: ") + e.what()), current_statement_begin__, prog_reader__());
260:         }
261: 
262:         current_statement_begin__ = 28;
263:         if (!(context__.contains_r("lambda")))
264:             stan::lang::rethrow_located(std::runtime_error(std::string("Variable lambda missing")), current_statement_begin__, prog_reader__());
265:         vals_r__ = context__.vals_r("lambda");
266:         pos__ = 0U;
267:         context__.validate_dims("parameter initialization", "lambda", "double", context__.to_vec());
268:         double lambda(0);
269:         lambda = vals_r__[pos__++];
270:         try {
271:             writer__.scalar_lb_unconstrain(0, lambda);
272:         } catch (const std::exception& e) {
273:             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable lambda: ") + e.what()), current_statement_begin__, prog_reader__());
274:         }
275: 
276:         params_r__ = writer__.data_r();
277:         params_i__ = writer__.data_i();
278:     }
279: 
280:     void transform_inits(const stan::io::var_context& context,
281:                          Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
282:                          std::ostream* pstream__) const {
283:       std::vector<double> params_r_vec;
284:       std::vector<int> params_i_vec;
285:       transform_inits(context, params_i_vec, params_r_vec, pstream__);
286:       params_r.resize(params_r_vec.size());
287:       for (int i = 0; i < params_r.size(); ++i)
288:         params_r(i) = params_r_vec[i];
289:     }
290: 
291: 
292:     template <bool propto__, bool jacobian__, typename T__>
293:     T__ log_prob(std::vector<T__>& params_r__,
294:                  std::vector<int>& params_i__,
295:                  std::ostream* pstream__ = 0) const {
296: 
297:         typedef T__ local_scalar_t__;
298: 
299:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
300:         (void) DUMMY_VAR__;  // dummy to suppress unused var warning
301: 
302:         T__ lp__(0.0);
303:         stan::math::accumulator<T__> lp_accum__;
304:         try {
305:             stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
306: 
307:             // model parameters
308:             current_statement_begin__ = 27;
309:             local_scalar_t__ alpha;
310:             (void) alpha;  // dummy to suppress unused var warning
311:             if (jacobian__)
312:                 alpha = in__.scalar_lb_constrain(0, lp__);
313:             else
314:                 alpha = in__.scalar_lb_constrain(0);
315: 
316:             current_statement_begin__ = 28;
317:             local_scalar_t__ lambda;
318:             (void) lambda;  // dummy to suppress unused var warning
319:             if (jacobian__)
320:                 lambda = in__.scalar_lb_constrain(0, lp__);
321:             else
322:                 lambda = in__.scalar_lb_constrain(0);
323: 
324:             // model body
325: 
326:             current_statement_begin__ = 31;
327:             lp_accum__.add(gamma_lpdf<propto__>(y, alpha, (1 / lambda)));
328:             current_statement_begin__ = 32;
329:             lp_accum__.add(lgammaJacLinf(y, alpha, lambda, pstream__));
330: 
331:         } catch (const std::exception& e) {
332:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
333:             // Next line prevents compiler griping about no return
334:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
335:         }
336: 
337:         lp_accum__.add(lp__);
338:         return lp_accum__.sum();
339: 
340:     } // log_prob()
341: 
342:     template <bool propto, bool jacobian, typename T_>
343:     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
344:                std::ostream* pstream = 0) const {
345:       std::vector<T_> vec_params_r;
346:       vec_params_r.reserve(params_r.size());
347:       for (int i = 0; i < params_r.size(); ++i)
348:         vec_params_r.push_back(params_r(i));
349:       std::vector<int> vec_params_i;
350:       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
351:     }
352: 
353: 
354:     void get_param_names(std::vector<std::string>& names__) const {
355:         names__.resize(0);
356:         names__.push_back("alpha");
357:         names__.push_back("lambda");
358:     }
359: 
360: 
361:     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
362:         dimss__.resize(0);
363:         std::vector<size_t> dims__;
364:         dims__.resize(0);
365:         dimss__.push_back(dims__);
366:         dims__.resize(0);
367:         dimss__.push_back(dims__);
368:     }
369: 
370:     template <typename RNG>
371:     void write_array(RNG& base_rng__,
372:                      std::vector<double>& params_r__,
373:                      std::vector<int>& params_i__,
374:                      std::vector<double>& vars__,
375:                      bool include_tparams__ = true,
376:                      bool include_gqs__ = true,
377:                      std::ostream* pstream__ = 0) const {
378:         typedef double local_scalar_t__;
379: 
380:         vars__.resize(0);
381:         stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
382:         static const char* function__ = "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::write_array";
383:         (void) function__;  // dummy to suppress unused var warning
384: 
385:         // read-transform, write parameters
386:         double alpha = in__.scalar_lb_constrain(0);
387:         vars__.push_back(alpha);
388: 
389:         double lambda = in__.scalar_lb_constrain(0);
390:         vars__.push_back(lambda);
391: 
392:         double lp__ = 0.0;
393:         (void) lp__;  // dummy to suppress unused var warning
394:         stan::math::accumulator<double> lp_accum__;
395: 
396:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
397:         (void) DUMMY_VAR__;  // suppress unused var warning
398: 
399:         if (!include_tparams__ && !include_gqs__) return;
400: 
401:         try {
402:             if (!include_gqs__ && !include_tparams__) return;
403:             if (!include_gqs__) return;
404:         } catch (const std::exception& e) {
405:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
406:             // Next line prevents compiler griping about no return
407:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
408:         }
409:     }
410: 
411:     template <typename RNG>
412:     void write_array(RNG& base_rng,
413:                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
414:                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
415:                      bool include_tparams = true,
416:                      bool include_gqs = true,
417:                      std::ostream* pstream = 0) const {
418:       std::vector<double> params_r_vec(params_r.size());
419:       for (int i = 0; i < params_r.size(); ++i)
420:         params_r_vec[i] = params_r(i);
421:       std::vector<double> vars_vec;
422:       std::vector<int> params_i_vec;
423:       write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
424:       vars.resize(vars_vec.size());
425:       for (int i = 0; i < vars.size(); ++i)
426:         vars(i) = vars_vec[i];
427:     }
428: 
429:     static std::string model_name() {
430:         return "model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6";
431:     }
432: 
433: 
434:     void constrained_param_names(std::vector<std::string>& param_names__,
435:                                  bool include_tparams__ = true,
436:                                  bool include_gqs__ = true) const {
437:         std::stringstream param_name_stream__;
438:         param_name_stream__.str(std::string());
439:         param_name_stream__ << "alpha";
440:         param_names__.push_back(param_name_stream__.str());
441:         param_name_stream__.str(std::string());
442:         param_name_stream__ << "lambda";
443:         param_names__.push_back(param_name_stream__.str());
444: 
445:         if (!include_gqs__ && !include_tparams__) return;
446: 
447:         if (include_tparams__) {
448:         }
449: 
450:         if (!include_gqs__) return;
451:     }
452: 
453: 
454:     void unconstrained_param_names(std::vector<std::string>& param_names__,
455:                                    bool include_tparams__ = true,
456:                                    bool include_gqs__ = true) const {
457:         std::stringstream param_name_stream__;
458:         param_name_stream__.str(std::string());
459:         param_name_stream__ << "alpha";
460:         param_names__.push_back(param_name_stream__.str());
461:         param_name_stream__.str(std::string());
462:         param_name_stream__ << "lambda";
463:         param_names__.push_back(param_name_stream__.str());
464: 
465:         if (!include_gqs__ && !include_tparams__) return;
466: 
467:         if (include_tparams__) {
468:         }
469: 
470:         if (!include_gqs__) return;
471:     }
472: 
473: }; // model
474: 
475: }  // namespace
476: 
477: typedef model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6 stan_model;
478: 
479: #include <rstan/rstaninc.hpp>
480: /**
481:  * Define Rcpp Module to expose stan_fit's functions to R.
482:  */
483: RCPP_MODULE(stan_fit4model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_mod){
484:   Rcpp::class_<rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6,
485:                boost::random::ecuyer1988> >("stan_fit4model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6")
486:     // .constructor<Rcpp::List>()
487:     .constructor<SEXP, SEXP, SEXP>()
488:     // .constructor<SEXP, SEXP>()
489:     .method("call_sampler",
490:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::call_sampler)
491:     .method("param_names",
492:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_names)
493:     .method("param_names_oi",
494:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_names_oi)
495:     .method("param_fnames_oi",
496:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_fnames_oi)
497:     .method("param_dims",
498:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_dims)
499:     .method("param_dims_oi",
500:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_dims_oi)
501:     .method("update_param_oi",
502:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::update_param_oi)
503:     .method("param_oi_tidx",
504:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::param_oi_tidx)
505:     .method("grad_log_prob",
506:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::grad_log_prob)
507:     .method("log_prob",
508:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::log_prob)
509:     .method("unconstrain_pars",
510:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::unconstrain_pars)
511:     .method("constrain_pars",
512:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::constrain_pars)
513:     .method("num_pars_unconstrained",
514:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::num_pars_unconstrained)
515:     .method("unconstrained_param_names",
516:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::unconstrained_param_names)
517:     .method("constrained_param_names",
518:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::constrained_param_names)
519:     .method("standalone_gqs",
520:             &rstan::stan_fit<model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6_namespace::model135430dc72db_19c1c5943c1b2d98a9c111d35b7c32d6, boost::random::ecuyer1988>::standalone_gqs)
521:   ;
522: }
523: 
524: // declarations
525: extern "C" {
526: SEXP file13546780f2ee( ) ;
527: }
528: 
529: // definition
530: 
531: SEXP file13546780f2ee(  ){
532:  return Rcpp::wrap("19c1c5943c1b2d98a9c111d35b7c32d6");
533: }
534: 
535: