Stan Math Library  2.10.0
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>
15 
16 namespace stan {
17 
18  namespace math {
19 
20  template <class RNG>
21  inline double
22  skew_normal_rng(const double mu,
23  const double sigma,
24  const double alpha,
25  RNG& rng) {
26  boost::math::skew_normal_distribution<> dist(mu, sigma, alpha);
27 
28  static const char* function("stan::math::skew_normal_rng");
29 
32 
33  check_finite(function, "Location parameter", mu);
34  check_finite(function, "Shape parameter", alpha);
35  check_positive(function, "Scale parameter", sigma);
36 
37  return quantile(dist, stan::math::uniform_rng(0.0, 1.0, rng));
38  }
39  }
40 }
41 #endif
42 
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:21
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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