1#ifndef STAN_MATH_PRIM_PROB_EXP_MOD_NORMAL_RNG_HPP
2#define STAN_MATH_PRIM_PROB_EXP_MOD_NORMAL_RNG_HPP
10#include <boost/random/normal_distribution.hpp>
11#include <boost/random/variate_generator.hpp>
38template <
typename T_loc,
typename T_scale,
typename T_inv_scale,
class RNG>
41 const T_inv_scale& lambda, RNG& rng) {
42 static constexpr const char* function =
"exp_mod_normal_rng";
47 sigma,
"Inv_scale Parameter", lambda);
50 T_sigma_ref sigma_ref = sigma;
51 T_lambda_ref lambda_ref = lambda;
59 size_t N =
max_size(mu, sigma, lambda);
62 for (
size_t n = 0; n < N; ++n) {
63 output[n] =
normal_rng(mu_vec[n], sigma_vec[n], rng)
typename helper::type type
VectorBuilder allocates type T1 values to be used as intermediate values.
scalar_seq_view provides a uniform sequence-like wrapper around either a scalar or a sequence of scal...
VectorBuilder< true, double, T_loc, T_scale >::type normal_rng(const T_loc &mu, const T_scale &sigma, RNG &rng)
Return a Normal random variate for the given location and scale using the specified random number gen...
VectorBuilder< true, double, T_inv >::type exponential_rng(const T_inv &beta, RNG &rng)
Return a exponential random variate with inverse scale beta using the specified random number generat...
VectorBuilder< true, double, T_loc, T_scale, T_inv_scale >::type exp_mod_normal_rng(const T_loc &mu, const T_scale &sigma, const T_inv_scale &lambda, RNG &rng)
Return an exponentially modified normal random variate for the given location, scale,...
void check_consistent_sizes(const char *)
Trivial no input case, this function is a no-op.
void check_finite(const char *function, const char *name, const T_y &y)
Return true if all values in y are finite.
int64_t max_size(const T1 &x1, const Ts &... xs)
Calculate the size of the largest input.
void check_positive_finite(const char *function, const char *name, const T_y &y)
Check if y is positive and finite.
typename ref_type_if< true, T >::type ref_type_t
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...