Stan Math Library  2.15.0
reverse mode automatic differentiation
wiener_log.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_PROB_WIENER_LOG_HPP
2 #define STAN_MATH_PRIM_MAT_PROB_WIENER_LOG_HPP
3 
5 #include <boost/math/tools/promotion.hpp>
6 
7 namespace stan {
8  namespace math {
9 
30  template <bool propto,
31  typename T_y, typename T_alpha, typename T_tau,
32  typename T_beta, typename T_delta>
34  wiener_log(const T_y& y, const T_alpha& alpha, const T_tau& tau,
35  const T_beta& beta, const T_delta& delta) {
36  return wiener_lpdf<propto, T_y, T_alpha, T_tau,
37  T_beta, T_delta>(y, alpha, tau, beta, delta);
38  }
39 
43  template <typename T_y, typename T_alpha, typename T_tau,
44  typename T_beta, typename T_delta>
45  inline
47  wiener_log(const T_y& y, const T_alpha& alpha, const T_tau& tau,
48  const T_beta& beta, const T_delta& delta) {
49  return wiener_lpdf<T_y, T_alpha, T_tau,
50  T_beta, T_delta>(y, alpha, tau, beta, delta);
51  }
52 
53  }
54 }
55 #endif
return_type< T_y, T_alpha, T_tau, T_beta, T_delta >::type wiener_log(const T_y &y, const T_alpha &alpha, const T_tau &tau, const T_beta &beta, const T_delta &delta)
The log of the first passage time density function for a (Wiener) drift diffusion model for the given...
Definition: wiener_log.hpp:34
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_alpha, T_tau, T_beta, T_delta >::type wiener_lpdf(const T_y &y, const T_alpha &alpha, const T_tau &tau, const T_beta &beta, const T_delta &delta)
The log of the first passage time density function for a (Wiener) drift diffusion model for the given...
Definition: wiener_lpdf.hpp:74

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