Stan Math Library  2.15.0
reverse mode automatic differentiation
beta_binomial_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_BINOMIAL_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_BETA_BINOMIAL_LOG_HPP
3 
6 
7 namespace stan {
8  namespace math {
9 
13  template <bool propto,
14  typename T_n, typename T_N,
15  typename T_size1, typename T_size2>
17  beta_binomial_log(const T_n& n,
18  const T_N& N,
19  const T_size1& alpha,
20  const T_size2& beta) {
21  return beta_binomial_lpmf<propto,
22  T_n, T_N, T_size1, T_size2>(n, N, alpha, beta);
23  }
24 
28  template <typename T_n,
29  typename T_N,
30  typename T_size1,
31  typename T_size2>
33  beta_binomial_log(const T_n& n, const T_N& 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);
36  }
37 
38  }
39 }
40 #endif
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
Definition: return_type.hpp:27
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)

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