GOSHO: Gosho Information Criterion

In mcglm: Multivariate Covariance Generalized Linear Models

Gosho Information Criterion

Description

Extract the Gosho Information Criterion (GOSHO) for an object of mcglm class. WARNING: This function is limited to models with ONE response variable. This function is general useful only for longitudinal data analysis.

Usage

GOSHO(object, id, verbose = TRUE)

Arguments

object	an object of mcglm class.
id	a vector which identifies the clusters or groups. The length and order of id should be the same as the number of observations. Data are assumed to be sorted so that observations on a cluster are contiguous rows for all entities in the formula.
verbose	logical. Print or not the GOSHO value.

Value

An invisible list with a single numeric component:

Gosho

The Gosho Information Criterion, computed for longitudinal data with a single response variable and scaled by the number of clusters.

Author(s)

Wagner Hugo Bonat, [e-mail]

Source

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

See Also

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

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