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Stan Math Library
2.11.0
reverse mode automatic differentiation
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#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) |