rlba_norm: Generate Random Responses of the LBA Distribution

In ggdmc: Cognitive Models

Generate Random Responses of the LBA Distribution

Description

rlba_norm used the LBA process to generate response times and responses.

Usage

rlba_norm(n, A, b, mean_v, sd_v, t0, st0, posdrift)

Arguments

n	is the numbers of observation.
A	start point upper bound, a vector of a scalar.
b	decision threshold, a vector or a scalar.
mean_v	mean drift rate vector
sd_v	standard deviation of drift rate vector
t0	non-decision time, a vector.
st0	non-decision time variation, a vector.
posdrift	if exclude negative drift rates

Value

a n x 2 matrix of response time (first column) and responses (second column).

ggdmc documentation built on April 13, 2025, 5:09 p.m.