Stan Math Library  2.9.0
reverse mode automatic differentiation
skew_normal_rng.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_SKEW_NORMAL_RNG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_SKEW_NORMAL_RNG_HPP
3 
4 #include <boost/random/variate_generator.hpp>
5 #include <boost/math/distributions.hpp>
17 
18 namespace stan {
19 
20  namespace math {
21 
22  template <class RNG>
23  inline double
24  skew_normal_rng(const double mu,
25  const double sigma,
26  const double alpha,
27  RNG& rng) {
28  boost::math::skew_normal_distribution<> dist(mu, sigma, alpha);
29 
30  static const char* function("stan::math::skew_normal_rng");
31 
34 
35  check_finite(function, "Location parameter", mu);
36  check_finite(function, "Shape parameter", alpha);
37  check_positive(function, "Scale parameter", sigma);
38 
39  return quantile(dist, stan::math::uniform_rng(0.0, 1.0, rng));
40  }
41  }
42 }
43 #endif
44 
double skew_normal_rng(const double mu, const double sigma, const double alpha, RNG &rng)
bool check_positive(const char *function, const char *name, const T_y &y)
Return true if y is positive.
double uniform_rng(const double alpha, const double beta, RNG &rng)
Definition: uniform_rng.hpp:22
bool check_finite(const char *function, const char *name, const T_y &y)
Return true if y is finite.
double dist(const std::vector< double > &x, const std::vector< double > &y)
Definition: dist.hpp:11

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