Stan Math Library  2.10.0
reverse mode automatic differentiation
Namespaces | Functions
wiener_log.hpp File Reference
#include <stan/math/prim/scal/fun/constants.hpp>
#include <stan/math/prim/scal/fun/square.hpp>
#include <stan/math/prim/scal/fun/value_of.hpp>
#include <stan/math/prim/scal/err/check_consistent_sizes.hpp>
#include <stan/math/prim/scal/err/check_bounded.hpp>
#include <stan/math/prim/scal/err/check_finite.hpp>
#include <stan/math/prim/scal/err/check_not_nan.hpp>
#include <stan/math/prim/scal/err/check_positive.hpp>
#include <stan/math/prim/scal/meta/return_type.hpp>
#include <stan/math/prim/scal/meta/include_summand.hpp>
#include <boost/math/distributions.hpp>
#include <cmath>
#include <algorithm>

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 stan::math
 Matrices and templated mathematical functions.
 

Functions

template<bool propto, typename T_y , typename T_alpha , typename T_tau , typename T_beta , typename T_delta >
return_type< T_y, T_alpha, T_tau, T_beta, T_delta >::type stan::math::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 $y$, boundary separation $\alpha$, nondecision time $\tau$, relative bias $\beta$, and drift rate $\delta$. More...
 
template<typename T_y , typename T_alpha , typename T_tau , typename T_beta , typename T_delta >
return_type< T_y, T_alpha, T_tau, T_beta, T_delta >::type stan::math::wiener_log (const T_y &y, const T_alpha &alpha, const T_tau &tau, const T_beta &beta, const T_delta &delta)
 

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