Stan Math Library  2.11.0
reverse mode automatic differentiation
normal_rng.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_NORMAL_RNG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_NORMAL_RNG_HPP
3 
4 #include <boost/random/normal_distribution.hpp>
5 #include <boost/random/variate_generator.hpp>
12 
13 namespace stan {
14 
15  namespace math {
16 
17  template <class RNG>
18  inline double
19  normal_rng(const double mu,
20  const double sigma,
21  RNG& rng) {
22  using boost::variate_generator;
23  using boost::normal_distribution;
27 
28  static const char* function("stan::math::normal_rng");
29 
30  check_finite(function, "Location parameter", mu);
31  check_not_nan(function, "Location parameter", mu);
32  check_positive(function, "Scale parameter", sigma);
33  check_not_nan(function, "Scale parameter", sigma);
34 
35  variate_generator<RNG&, normal_distribution<> >
36  norm_rng(rng, normal_distribution<>(mu, sigma));
37  return norm_rng();
38  }
39  }
40 }
41 #endif
bool check_not_nan(const char *function, const char *name, const T_y &y)
Return true if y is not NaN.
bool check_positive(const char *function, const char *name, const T_y &y)
Return true if y is positive.
bool check_finite(const char *function, const char *name, const T_y &y)
Return true if y is finite.
double normal_rng(const double mu, const double sigma, RNG &rng)
Definition: normal_rng.hpp:19

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