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Stan Math Library
2.9.0
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 ![]() ![]() ![]() ![]() ![]() | |
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) |