#include <dense_e_nuts_classic.hpp>

Inheritance diagram for stan::mcmc::dense_e_nuts_classic< Model, BaseRNG >:

Public Member Functions
	dense_e_nuts_classic (const Model &model, BaseRNG &rng)

bool	compute_criterion (ps_point &start, dense_e_point &finish, Eigen::VectorXd &rho)

Public Member Functions inherited from stan::mcmc::base_nuts_classic< Model, dense_e_metric, expl_leapfrog, BaseRNG >
	base_nuts_classic (const Model &model, BaseRNG &rng)

	~base_nuts_classic ()

void	set_max_depth (int d)

void	set_max_delta (double d)

int	get_max_depth ()

double	get_max_delta ()

sample	transition (sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)

void	get_sampler_param_names (std::vector< std::string > &names)

void	get_sampler_params (std::vector< double > &values)

virtual bool	compute_criterion (ps_point &start, typename dense_e_metric< Model, BaseRNG > ::PointType &finish, Eigen::VectorXd &rho)=0

int	build_tree (int depth, Eigen::VectorXd &rho, ps_point *z_init_parent, ps_point &z_propose, nuts_util &util, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)

Public Member Functions inherited from stan::mcmc::base_hmc< Model, dense_e_metric, expl_leapfrog, BaseRNG >
	base_hmc (const Model &model, BaseRNG &rng)

void	write_sampler_state (interface_callbacks::writer::base_writer &writer)

void	get_sampler_diagnostic_names (std::vector< std::string > &model_names, std::vector< std::string > &names)

void	get_sampler_diagnostics (std::vector< double > &values)

void	seed (const Eigen::VectorXd &q)

void	init_hamiltonian (interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)

void	init_stepsize (interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)

dense_e_metric< Model, BaseRNG >::PointType &	z ()

virtual void	set_nominal_stepsize (double e)

double	get_nominal_stepsize ()

double	get_current_stepsize ()

virtual void	set_stepsize_jitter (double j)

double	get_stepsize_jitter ()

void	sample_stepsize ()

Public Member Functions inherited from stan::mcmc::base_mcmc
	base_mcmc ()

virtual	~base_mcmc ()

Additional Inherited Members
Public Attributes inherited from stan::mcmc::base_nuts_classic< Model, dense_e_metric, expl_leapfrog, BaseRNG >
int	depth_

int	max_depth_

double	max_delta_

int	n_leapfrog_

int	divergent_

double	energy_

Protected Attributes inherited from stan::mcmc::base_hmc< Model, dense_e_metric, expl_leapfrog, BaseRNG >
dense_e_metric< Model, BaseRNG >::PointType	z_

expl_leapfrog< dense_e_metric< Model, BaseRNG > >	integrator_

dense_e_metric< Model, BaseRNG >	hamiltonian_

BaseRNG &	rand_int_

boost::uniform_01< BaseRNG &>	rand_uniform_

double	nom_epsilon_

double	epsilon_

double	epsilon_jitter_

Detailed Description

template<class Model, class BaseRNG>
class stan::mcmc::dense_e_nuts_classic< Model, BaseRNG >

Definition at line 14 of file dense_e_nuts_classic.hpp.

Constructor & Destructor Documentation

§ dense_e_nuts_classic()

template<class Model , class BaseRNG >

stan::mcmc::dense_e_nuts_classic< Model, BaseRNG >::dense_e_nuts_classic	(	const Model &	model,
		BaseRNG &	rng
	)

inline

Definition at line 18 of file dense_e_nuts_classic.hpp.

Member Function Documentation

§ compute_criterion()

template<class Model , class BaseRNG >

bool stan::mcmc::dense_e_nuts_classic< Model, BaseRNG >::compute_criterion	(	ps_point &	start,
		dense_e_point &	finish,
		Eigen::VectorXd &	rho
	)

inline

Definition at line 24 of file dense_e_nuts_classic.hpp.

The documentation for this class was generated from the following file:

src/stan/mcmc/hmc/nuts_classic/dense_e_nuts_classic.hpp

Public Member Functions