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Stan Math Library
5.2.0
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 Mean , typename CovarFun , typename CovarArgs , typename OpsTuple , typename RNG > | |
| Eigen::VectorXd | stan::math::laplace_latent_tol_poisson_log_rng (const std::vector< int > &y, const std::vector< int > &y_index, Mean &&mean, int hessian_block_size, CovarFun &&covariance_function, CovarArgs &&covar_args, OpsTuple &&ops, 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, int hessian_block_size, CovarFun &&covariance_function, CovarArgs &&covar_args, RNG &rng, std::ostream *msgs) |
| In a latent gaussian model,. | |