calc_ic {dRiftDM}R Documentation

Calculate Information Criteria (AIC and BIC)

Description

Computes/Summarizes the Log-Likelihood, Akaike Information Criterion (AIC), and the Bayesian Information Criterion (BIC)

Usage

calc_ic(drift_dm_obj, ...)

Arguments

drift_dm_obj

an object of type drift_dm

...

further arguments (only relevant: k, for the penality of stats::AIC)

Details

The functions calls logLik.drift_dm, and subsequently stats::AIC and stats::BIC

Value

A custom object of class stats_dm (c("fit_stats", "stats_dm", "data.frame")), containing a data frame with columns:

See Also

new_stats_dm(), logLik.drift_dm


[Package dRiftDM version 0.2.2 Index]