laplace_latent_bernoulli_logit_rng.hpp File Reference

#include <stan/math/mix/functor/laplace_base_rng.hpp>
#include <stan/math/mix/functor/laplace_likelihood.hpp>
#include <stan/math/mix/prob/laplace_marginal_bernoulli_logit_lpmf.hpp>

Go to the source code of this file.

Namespaces
namespace	stan
	The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation.
namespace	stan::math
	Matrices and templated mathematical functions.

Functions
template<typename ThetaVec , typename Mean , typename CovarFun , typename CovarArgs , typename RNG , require_eigen_vector_t< ThetaVec > * = nullptr>
Eigen::VectorXd	stan::math::laplace_latent_tol_bernoulli_logit_rng (const std::vector< int > &y, const std::vector< int > &n_samples, Mean &&mean, CovarFun &&covariance_function, CovarArgs &&covar_args, ThetaVec &&theta_0, const double tolerance, const int max_num_steps, const int hessian_block_size, const int solver, const int max_steps_line_search, RNG &rng, std::ostream *msgs)
	In a latent gaussian model,.
template<typename Mean , typename CovarFun , typename CovarArgs , typename RNG >
Eigen::VectorXd	stan::math::laplace_latent_bernoulli_logit_rng (const std::vector< int > &y, const std::vector< int > &n_samples, Mean &&mean, CovarFun &&covariance_function, CovarArgs &&covar_args, RNG &rng, std::ostream *msgs)
	In a latent gaussian model,.