1 #ifndef STAN_MATH_PRIM_MAT_PROB_WIENER_LOG_HPP 2 #define STAN_MATH_PRIM_MAT_PROB_WIENER_LOG_HPP 6 #include <boost/math/tools/promotion.hpp> 31 template <
bool propto,
typename T_y,
typename T_alpha,
typename T_tau,
32 typename T_beta,
typename T_delta>
34 const T_y& y,
const T_alpha& alpha,
const T_tau& tau,
const T_beta&
beta,
35 const T_delta& delta) {
36 return wiener_lpdf<propto, T_y, T_alpha, T_tau, T_beta, T_delta>(
37 y, alpha, tau,
beta, delta);
43 template <
typename T_y,
typename T_alpha,
typename T_tau,
typename T_beta,
46 wiener_log(
const T_y& y,
const T_alpha& alpha,
const T_tau& tau,
47 const T_beta&
beta,
const T_delta& delta) {
48 return wiener_lpdf<T_y, T_alpha, T_tau, T_beta, T_delta>(y, alpha, tau,
beta,
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...
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.
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type