Automatic Differentiation
 
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poisson_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_POISSON_LOG_HPP
2#define STAN_MATH_PRIM_PROB_POISSON_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <bool propto, typename T_n, typename T_rate>
14return_type_t<T_rate> poisson_log(const T_n& n, const T_rate& lambda) {
15 return poisson_lpmf<propto, T_n, T_rate>(n, lambda);
16}
17
21template <typename T_n, typename T_rate>
22inline return_type_t<T_rate> poisson_log(const T_n& n, const T_rate& lambda) {
23 return poisson_lpmf<T_n, T_rate>(n, lambda);
24}
25
26} // namespace math
27} // namespace stan
28#endif
return_type_t< T_rate > poisson_log(const T_n &n, const T_rate &lambda)
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9