ggdmc (version 0.1.3.9)

likelihood: Calculate Log-Likelihood

Description

likelihood.rd is a legacy function for computing diffusion model density. If the speed of computation is a concern, the user may want to use ddmc, which implemnts a streamlined C++ diffusion model density.

Usage

likelihood(data, p.vector, min.like = 1e-10, ...)
# S3 method for default
likelihood(data, p.vector, min.like = 1e-10, ...)
# S3 method for rd
likelihood(data, p.vector, min.like = 1e-10, ...)
# S3 method for norm
likelihood(data, p.vector, min.like = 1e-10, ...)

Arguments

data

a model data instance

p.vector

a parameter vector

min.like

minimal likelihood, 1e-10

...

other parameters, such as precision for ddm, ok.types for lba_B.

Value

a vector of likelihoods for each RT in data (in same order)