command.hpp File Reference

#include <cmath>
#include <cstddef>
#include <boost/math/special_functions/fpclassify.hpp>
#include <boost/date_time/posix_time/posix_time_types.hpp>
#include <iomanip>
#include <iostream>
#include <fstream>
#include <sstream>
#include <vector>
#include <boost/random/additive_combine.hpp>
#include <boost/random/mersenne_twister.hpp>
#include <boost/random/uniform_01.hpp>
#include <boost/random/uniform_real_distribution.hpp>
#include <stan/version.hpp>
#include <stan/io/cmd_line.hpp>
#include <stan/io/dump.hpp>
#include <stan/mcmc/adaptive_sampler.hpp>
#include <stan/mcmc/adaptive_hmc.hpp>
#include <stan/mcmc/hmc.hpp>
#include <stan/mcmc/nuts.hpp>
#include <stan/mcmc/nuts_diag.hpp>
#include <stan/model/prob_grad_ad.hpp>
#include <stan/model/prob_grad.hpp>
#include <stan/mcmc/sampler.hpp>

Go to the source code of this file.

Namespaces
namespace	stan
	Probability, optimization and sampling library.
namespace	stan::gm
	Directed graphical model compiler.

Functions
void	stan::gm::print_nuts_help (std::string cmd)
bool	stan::gm::do_print (int n, int refresh)
template<class Sampler , class Model >
void	stan::gm::sample_from (Sampler &sampler, bool epsilon_adapt, int refresh, int num_iterations, int num_warmup, int num_thin, bool save_warmup, std::ostream &sample_file_stream, std::vector< double > &params_r, std::vector< int > &params_i, Model &model)
void	stan::gm::write_comment (std::ostream &o)
template<typename M >
void	stan::gm::write_comment (std::ostream &o, const M &msg)
template<typename K , typename V >
void	stan::gm::write_comment_property (std::ostream &o, const K &key, const V &val)
template<class Model >
int	stan::gm::nuts_command (int argc, const char *argv[])