Stan Math Library  2.20.0
reverse mode automatic differentiation
exponential_cdf_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_EXPONENTIAL_CDF_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_EXPONENTIAL_CDF_LOG_HPP
3 
6 
7 namespace stan {
8 namespace math {
9 
13 template <typename T_y, typename T_inv_scale>
15  const T_y& y, const T_inv_scale& beta) {
16  return exponential_lcdf<T_y, T_inv_scale>(y, beta);
17 }
18 
19 } // namespace math
20 } // namespace stan
21 #endif
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.
Definition: beta.hpp:51
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type
Definition: return_type.hpp:36
return_type< T_y, T_inv_scale >::type exponential_cdf_log(const T_y &y, const T_inv_scale &beta)

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