gof: Measures of Goodness-of-Fit

In mcglm: Multivariate Covariance Generalized Linear Models

Measures of Goodness-of-Fit

Description

Extract the pseudo Gaussian log-likelihood (plogLik), pseudo Akaike Information Criterion (pAIC), pseudo Kullback-Leibler Information Criterion (pKLIC) and pseudo Bayesian Information Criterion (pBIC) for objects of mcglm class.

Usage

gof(object)

Arguments

object

an object or a list of objects representing a model of mcglm class.

Value

A data frame with the following columns:

plogLik

Numeric value of the pseudo Gaussian log-likelihood.

Df

Integer giving the number of estimated parameters.

pAIC

Numeric value of the pseudo Akaike Information Criterion.

pKLIC

Numeric value of the pseudo Kullback–Leibler Information Criterion.

BIC

Numeric value of the pseudo Bayesian Information Criterion.

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.

Wang, M. (2014). Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments. Advances in Statistics, 1(1)1–13.

See Also

plogLik, pAIC, pKLIC and pBIC.

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