Automatic Differentiation
 
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hypergeometric_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_HYPERGEOMETRIC_LOG_HPP
2#define STAN_MATH_PRIM_PROB_HYPERGEOMETRIC_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <bool propto, typename T_n, typename T_N, typename T_a, typename T_b>
14double hypergeometric_log(const T_n& n, const T_N& N, const T_a& a,
15 const T_b& b) {
16 return hypergeometric_lpmf<propto, T_n, T_N, T_a, T_b>(n, N, a, b);
17}
18
22template <typename T_n, typename T_N, typename T_a, typename T_b>
23inline double hypergeometric_log(const T_n& n, const T_N& N, const T_a& a,
24 const T_b& b) {
25 return hypergeometric_lpmf<T_n, T_N, T_a, T_b>(n, N, a, b);
26}
27
28} // namespace math
29} // namespace stan
30#endif
double hypergeometric_log(const T_n &n, const T_N &N, const T_a &a, const T_b &b)
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9