extract_ic: Extract Model Comparison Estimates
In hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks

extract_ic

R Documentation

Extract Model Comparison Estimates

Description

Extract Model Comparison Estimates

Usage

extract_ic(model_data = NULL, ic = "looic", ncore = 2)

Arguments

`model_data`	Object returned by `'hBayesDM'` model function
`ic`	Information Criterion. 'looic', 'waic', or 'both'
`ncore`	Number of cores to use when computing LOOIC

Value

IC Leave-One-Out and/or Watanabe-Akaike information criterion estimates.

Examples

## Not run: 
library(hBayesDM)
output = bandit2arm_delta("example", niter = 2000, nwarmup = 1000, nchain = 4, ncore = 1)
extract_ic(output)
extract_ic(output, ic = "waic")

## End(Not run)

hBayesDM documentation built on Sept. 10, 2026, 1:12 a.m.