log_likelihood: Log-likelihood

In lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM)

Log-likelihood

Description

Log-likelihood of the inverse Gaussian race model (article eq. 2), including the contribution of censored observations.

Usage

log_likelihood(tau, mu, b, delta, cens, D, log)

Arguments

tau	vector of size n containing the response times
mu	matrix of size (n x d1) containing the drift parameters corresponding to the n response times for each possible d1 decision
b	matrix of size (n x d1) containing the boundary parameters corresponding to the n response times for each possible d1 decision
delta	vector of size n containing the offset parameters corresponding to the n response times
cens	vector of size n containing censoring indicators (1 censored, 0 not censored) corresponding to the n response times
D	(n x 2) matrix whose first column has the n input stimuli, and whose second column has the n decision categories
log	should the result be returned on the log scale?

Value

The (log-)likelihood of all n observations.

lddmm documentation built on Oct. 23, 2026, 5:07 p.m.