1#ifndef STAN_MATH_PRIM_PROB_SKEW_NORMAL_RNG_HPP
2#define STAN_MATH_PRIM_PROB_SKEW_NORMAL_RNG_HPP
11#include <boost/random/normal_distribution.hpp>
12#include <boost/random/variate_generator.hpp>
39template <
typename T_loc,
typename T_scale,
typename T_shape,
class RNG>
43 using boost::variate_generator;
44 using boost::random::normal_distribution;
45 static constexpr const char* function =
"skew_normal_rng";
47 sigma,
"Shape Parameter", alpha);
51 const auto& mu_ref =
to_ref(mu);
52 const auto& sigma_ref =
to_ref(sigma);
53 const auto& alpha_ref =
to_ref(alpha);
61 size_t N =
max_size(mu, sigma, alpha);
64 variate_generator<RNG&, normal_distribution<> > norm_rng(
65 rng, normal_distribution<>(0, 1));
66 for (
size_t n = 0; n < N; ++n) {
67 double r1 = norm_rng();
68 double r2 = norm_rng();
70 if (r2 > alpha_vec[n] * r1) {
74 output[n] = mu_vec[n] + sigma_vec[n] * r1;
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, T_shape >::type skew_normal_rng(const T_loc &mu, const T_scale &sigma, const T_shape &alpha, RNG &rng)
Return a Skew-normal random variate for the given location, scale, and shape using the specified rand...
bool size_zero(const T &x)
Returns 1 if input is of length 0, returns 0 otherwise.
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.
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
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.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...