AIC.hopit: Extracting the Akaike Information Criterion from the fitted...

In MaciejDanko/hopit: Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity

Extracting the Akaike Information Criterion from the fitted model

Description

Extract the Akaike Information Criterion (AIC) from a fitted hopit model.

Usage

## S3 method for class 'hopit'
AIC(object, ..., k = 2L)

Arguments

object	a hopit object.
...	additional objects of the class hopit.
k	a penalty per parameter to be used; the default k = 2 is the classical AIC.

Author(s)

Maciej J. Danko

MaciejDanko/hopit documentation built on Oct. 4, 2022, 7:59 p.m.