laplace_latent_bernoulli_logit_rng.hpp

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#ifndef STAN_MATH_MIX_PROB_LAPLACE_LATENT_BERNOULLI_LOGIT_RNG_HPP
#define STAN_MATH_MIX_PROB_LAPLACE_LATENT_BERNOULLI_LOGIT_RNG_HPP
 
#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>
 
namespace stan {
namespace math {
 
template <typename Mean, typename CovarFun, typename CovarArgs,
          typename OpsTuple, typename RNG>
inline Eigen::VectorXd laplace_latent_tol_bernoulli_logit_rng(
    const std::vector<int>& y, const std::vector<int>& n_samples, Mean&& mean,
    int hessian_block_size, CovarFun&& covariance_function,
    CovarArgs&& covar_args, OpsTuple&& ops, RNG& rng, std::ostream* msgs) {
  auto options
      = internal::tuple_to_laplace_options(std::forward<OpsTuple>(ops));
  options.hessian_block_size = hessian_block_size;
  return laplace_base_rng(
      bernoulli_logit_likelihood{},
      std::forward_as_tuple(to_vector(y), n_samples, std::forward<Mean>(mean)),
      std::forward<CovarFun>(covariance_function),
      std::forward<CovarArgs>(covar_args), std::move(options), rng, msgs);
}
 
template <typename Mean, typename CovarFun, typename CovarArgs, typename RNG>
inline Eigen::VectorXd laplace_latent_bernoulli_logit_rng(
    const std::vector<int>& y, const std::vector<int>& n_samples, Mean&& mean,
    int hessian_block_size, CovarFun&& covariance_function,
    CovarArgs&& covar_args, RNG& rng, std::ostream* msgs) {
  auto options = laplace_options_default{hessian_block_size};
  return laplace_base_rng(
      bernoulli_logit_likelihood{},
      std::forward_as_tuple(to_vector(y), n_samples, std::forward<Mean>(mean)),
      std::forward<CovarFun>(covariance_function),
      std::forward<CovarArgs>(covar_args), options, rng, msgs);
}
 
}  // namespace math
}  // namespace stan
 
#endif