1 #ifndef STAN_MATH_PRIM_SCAL_PROB_GAMMA_RNG_HPP 2 #define STAN_MATH_PRIM_SCAL_PROB_GAMMA_RNG_HPP 8 #include <boost/random/gamma_distribution.hpp> 9 #include <boost/random/variate_generator.hpp> 32 template <
typename T_shape,
typename T_inv,
class RNG>
34 const T_shape& alpha,
const T_inv&
beta, RNG& rng) {
35 using boost::gamma_distribution;
36 using boost::variate_generator;
38 static const char*
function =
"gamma_rng";
43 "Inverse scale Parameter", beta);
50 for (
size_t n = 0; n < N; ++n) {
52 variate_generator<RNG&, gamma_distribution<> >
gamma_rng(
53 rng, gamma_distribution<>(alpha_vec[n],
54 1 / static_cast<double>(beta_vec[n])));
scalar_seq_view provides a uniform sequence-like wrapper around either a scalar or a sequence of scal...
fvar< T > beta(const fvar< T > &x1, const fvar< T > &x2)
Return fvar with the beta function applied to the specified arguments and its gradient.
void check_positive_finite(const char *function, const char *name, const T_y &y)
Check if y is positive and finite.
size_t max_size(const T1 &x1, const T2 &x2)
VectorBuilder< true, double, T_shape, T_inv >::type gamma_rng(const T_shape &alpha, const T_inv &beta, RNG &rng)
Return a gamma random variate for the given shape and inverse scale parameters using the specified ra...
VectorBuilder allocates type T1 values to be used as intermediate values.
void check_consistent_sizes(const char *function, const char *name1, const T1 &x1, const char *name2, const T2 &x2)
Check if the dimension of x1 is consistent with x2.