1#ifndef STAN_MATH_PRIM_PROB_INV_GAMMA_LOG_HPP
2#define STAN_MATH_PRIM_PROB_INV_GAMMA_LOG_HPP
28template <
bool propto,
typename T_y,
typename T_shape,
typename T_scale>
31 const T_scale&
beta) {
32 return inv_gamma_lpdf<propto, T_y, T_shape, T_scale>(y, alpha,
beta);
38template <
typename T_y,
typename T_shape,
typename T_scale>
41 const T_scale&
beta) {
42 return inv_gamma_lpdf<T_y, T_shape, T_scale>(y, alpha,
beta);
return_type_t< T_y, T_shape, T_scale > inv_gamma_log(const T_y &y, const T_shape &alpha, const T_scale &beta)
The log of an inverse gamma density for y with the specified shape and 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 ...