log_likelihood_ind | R Documentation |
Compute the log-likelihood for the drift-diffusion model, including the censored data contribution, for a single observation.
log_likelihood_ind(tau, mu, b, delta, cens, D)
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 |
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