Stan Math Library  2.20.0
reverse mode automatic differentiation
beta_proportion_cdf_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_PROPORTION_CDF_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_BETA_PROPORTION_CDF_LOG_HPP
3 
6 
7 namespace stan {
8 namespace math {
9 
32 template <typename T_y, typename T_loc, typename T_prec>
34  const T_y& y, const T_loc& mu, const T_prec& kappa) {
35  return beta_proportion_lcdf<T_y, T_loc, T_prec>(y, mu, kappa);
36 }
37 
38 } // namespace math
39 } // namespace stan
40 #endif
return_type< T_y, T_loc, T_prec >::type beta_proportion_cdf_log(const T_y &y, const T_loc &mu, const T_prec &kappa)
Returns the beta log cumulative distribution function for specified probability, location, and precision parameters: beta_proportion_lcdf(y | mu, kappa) = beta_lcdf(y | mu * kappa, (1 - mu) * kappa).
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type
Definition: return_type.hpp:36

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