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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/prim/fun/to_ref.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 LLFunc , typename LLArgs , typename ThetaVec , typename CovarFun , typename CovarArgs , typename RNG > | |
| auto | stan::math::laplace_latent_tol_rng (LLFunc &&L_f, LLArgs &&ll_args, 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 LLFunc , typename LLArgs , typename CovarFun , typename CovarArgs , typename RNG > | |
| auto | stan::math::laplace_latent_rng (LLFunc &&L_f, LLArgs &&ll_args, CovarFun &&covariance_function, CovarArgs &&covar_args, RNG &rng, std::ostream *msgs) |
| In a latent gaussian model,. | |