1 #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_BINOMIAL_LOG_HPP 2 #define STAN_MATH_PRIM_SCAL_PROB_BETA_BINOMIAL_LOG_HPP 13 template <
bool propto,
14 typename T_n,
typename T_N,
15 typename T_size1,
typename T_size2>
20 const T_size2& beta) {
22 T_n, T_N, T_size1, T_size2>(n, N, alpha, beta);
28 template <
typename T_n,
34 const T_size1& alpha,
const T_size2& beta) {
35 return beta_binomial_lpmf<T_n, T_N, T_size1, T_size2>(n, N, alpha, beta);
boost::math::tools::promote_args< typename scalar_type< T1 >::type, typename scalar_type< T2 >::type, typename scalar_type< T3 >::type, typename scalar_type< T4 >::type, typename scalar_type< T5 >::type, typename scalar_type< T6 >::type >::type type
return_type< T_size1, T_size2 >::type beta_binomial_lpmf(const T_n &n, const T_N &N, const T_size1 &alpha, const T_size2 &beta)
Returns the log PMF of the Beta-Binomial distribution with given population size, prior success...
return_type< T_size1, T_size2 >::type beta_binomial_log(const T_n &n, const T_N &N, const T_size1 &alpha, const T_size2 &beta)