wiener_log() [1/2]

template<bool propto, typename T_y , typename T_alpha , typename T_tau , typename T_beta , typename T_delta >

return_type_t< T_y, T_alpha, T_tau, T_beta, T_delta > 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 \(\delta\).

\(\alpha\) and \(\tau\) must be greater than 0, and \(\beta\) must be between 0 and 1. \(y\) should contain reaction times in seconds (strictly positive) with upper-boundary responses.

Deprecated:

use wiener_lpdf

Parameters

y	A scalar variate.
alpha	The boundary separation.
tau	The nondecision time.
beta	The relative bias.
delta	The drift rate.

Returns

The log of the Wiener first passage time density of the specified arguments.

Definition at line 32 of file wiener_log.hpp.