1 #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_LOG_HPP 2 #define STAN_MATH_PRIM_SCAL_PROB_BETA_LOG_HPP 30 template <
bool propto,
typename T_y,
typename T_scale_succ,
31 typename T_scale_fail>
33 const T_y& y,
const T_scale_succ& alpha,
const T_scale_fail&
beta) {
34 return beta_lpdf<propto, T_y, T_scale_succ, T_scale_fail>(y, alpha,
beta);
40 template <
typename T_y,
typename T_scale_succ,
typename T_scale_fail>
42 const T_y& y,
const T_scale_succ& alpha,
const T_scale_fail&
beta) {
43 return beta_lpdf<T_y, T_scale_succ, T_scale_fail>(y, alpha,
beta);
return_type< T_y, T_scale_succ, T_scale_fail >::type beta_log(const T_y &y, const T_scale_succ &alpha, const T_scale_fail &beta)
The log of the beta density for the specified scalar(s) given the specified sample size(s)...
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.
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type