compute_loglike: Compute log likelihood of model selected

In ykunisato/lcmr: Model fitting using latent cause model

Compute log likelihood of model selected

Description

compute_loglike compute log likelihood of data under the latent cause model.

Usage

compute_loglike(param, data, model, opts)

Arguments

param	parameter
data	single-subject data
model	1 = latent cause model, 2 = latent cause modulated RW model
opts	options

Value

lik: log-likelihood

latents: structure containing latent variables:

          b: beta coefficient mapping model CR to  measured CR

          sd: maximum likelihood standard deviation

          CR: predicted CR

ykunisato/lcmr documentation built on Nov. 28, 2024, 2:40 p.m.