AIC.mle: Compute AIC for mle objects

In rettopnivek/mle: Convenience functions for maximum likelihood estimation

Description

Compute AIC for mle objects

Usage

## S3 method for class 'mle'
AIC(object, finite = F)

Arguments

object	a mle object.
finite	logical; if true, applies correction for finite sample size (e.g., Wagenmakers & Farrell, 2004).

Details

The correction for finite samples is 2K(K+1)/(n-K-1) where K is the number of parameters and n is the number of observations.

References

Wagenmakers, E. J., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic bulletin & review, 11, 192-196.

rettopnivek/mle documentation built on May 5, 2019, 5:54 p.m.