| Stan Math Library 2.11.0 reverse mode automatic differentiation

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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>`

Go to the source code of this file.

## Namespaces
| stan
| 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 , boundary separation , nondecision time , relative bias , and drift rate . 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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