pKLIC: Pseudo Kullback-Leibler Information Criterion

In mcglm: Multivariate Covariance Generalized Linear Models

Pseudo Kullback-Leibler Information Criterion

Description

Extract the pseudo Kullback-Leibler information criterion (pKLIC) for objects of mcglm class.

Usage

pKLIC(object, verbose = TRUE)

Arguments

object	an object or a list of objects representing a model of mcglm class.
verbose	logical. Print or not the pKLIC value.

Value

An invisible list with a single numeric component:

pKLIC

The pseudo Kullback–Leibler Information Criterion computed from the pseudo log-likelihood and a penalty term based on the sensitivity and variability matrices.

Author(s)

Wagner Hugo Bonat, [e-mail]

Source

Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.

See Also

gof, plogLik, ESS, pAIC, GOSHO and RJC.

mcglm documentation built on Jan. 9, 2026, 1:07 a.m.