Stan Math Library  2.15.0
reverse mode automatic differentiation
exp_mod_normal_ccdf_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_EXP_MOD_NORMAL_CCDF_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_EXP_MOD_NORMAL_CCDF_LOG_HPP
3 
6 
7 namespace stan {
8  namespace math {
9 
13  template <typename T_y, typename T_loc, typename T_scale,
14  typename T_inv_scale>
16  exp_mod_normal_ccdf_log(const T_y& y, const T_loc& mu, const T_scale& sigma,
17  const T_inv_scale& lambda) {
18  return exp_mod_normal_lccdf<T_y, T_loc,
19  T_scale, T_inv_scale>(y, mu, sigma, lambda);
20  }
21 
22  }
23 }
24 #endif
return_type< T_y, T_loc, T_scale, T_inv_scale >::type exp_mod_normal_lccdf(const T_y &y, const T_loc &mu, const T_scale &sigma, const T_inv_scale &lambda)
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_y, T_loc, T_scale, T_inv_scale >::type exp_mod_normal_ccdf_log(const T_y &y, const T_loc &mu, const T_scale &sigma, const T_inv_scale &lambda)

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