1#ifndef STAN_MATH_PRIM_PROB_GAMMA_LOG_HPP
2#define STAN_MATH_PRIM_PROB_GAMMA_LOG_HPP
35template <
bool propto,
typename T_y,
typename T_shape,
typename T_inv_scale>
38 const T_inv_scale&
beta) {
39 return gamma_lpdf<propto, T_y, T_shape, T_inv_scale>(y, alpha,
beta);
45template <
typename T_y,
typename T_shape,
typename T_inv_scale>
47 const T_y& y,
const T_shape& alpha,
const T_inv_scale&
beta) {
48 return gamma_lpdf<T_y, T_shape, T_inv_scale>(y, alpha,
beta);
return_type_t< T_y, T_shape, T_inv_scale > gamma_log(const T_y &y, const T_shape &alpha, const T_inv_scale &beta)
The log of a gamma density for y with the specified shape and inverse scale parameters.
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
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.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...