ddm_dist: Distribution function for the Diffusion Decision Model...

In bmm: Easy and Accessible Bayesian Measurement Models Using 'brms'

Distribution function for the Diffusion Decision Model (ddm)

Description

Density and random generation function for the Diffusion Decision Model.

Usage

dddm(rt, response, drift, bound, ndt, zr = 0.5, log = TRUE)

rddm(n, drift, bound, ndt, zr = 0.5)

Arguments

rt	Vector of response times for which the density should be returned
response	Vector of responses for which the density should be returned
drift	Drift rates of the ddm
bound	Boundary separation of the ddm
ndt	Non-decision time of the ddm
zr	relative starting point of the ddm
log	Logical, indicating if log-densities should be returned (default = TRUE)
n	Number of random samples to generate

bmm documentation built on March 30, 2026, 5:08 p.m.