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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/mix/functor/laplace_base_rng.hpp>
#include <stan/math/mix/functor/laplace_likelihood.hpp>
#include <stan/math/mix/prob/laplace_marginal_poisson_log_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_poisson_log_rng (const std::vector< int > &y, const std::vector< int > &y_index, 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 CovarFun , typename CovarArgs , typename RNG , typename Mean > | |
Eigen::VectorXd | stan::math::laplace_latent_poisson_log_rng (const std::vector< int > &y, const std::vector< int > &y_index, Mean &&mean, CovarFun &&covariance_function, CovarArgs &&covar_args, RNG &rng, std::ostream *msgs) |
In a latent gaussian model,. | |