Stan Math Library  2.15.0
reverse mode automatic differentiation
gamma_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_GAMMA_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_GAMMA_LOG_HPP
3 
6 
7 namespace stan {
8  namespace math {
9 
35  template <bool propto,
36  typename T_y, typename T_shape, typename T_inv_scale>
38  gamma_log(const T_y& y, const T_shape& alpha, const T_inv_scale& beta) {
39  return gamma_lpdf<propto, T_y, T_shape, T_inv_scale>(y, alpha, beta);
40  }
41 
45  template <typename T_y, typename T_shape, typename T_inv_scale>
46  inline
48  gamma_log(const T_y& y, const T_shape& alpha, const T_inv_scale& beta) {
49  return gamma_lpdf<T_y, T_shape, T_inv_scale>(y, alpha, beta);
50  }
51 
52  }
53 }
54 #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_y, T_shape, T_inv_scale >::type gamma_log(const T_y &y, const T_shape &alpha, const T_inv_scale &beta)
The log of a gamma density for y with the specified shape and inverse scale parameters.
Definition: gamma_log.hpp:38

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