RJC: Rotnitzky-Jewell Information Criterion

In wbonat/mcglm: Multivariate Covariance Generalized Linear Models

Description

Compute the Rotnitzky-Jewell information criterion for an object of mcglm class. WARNINGS: This function is limited to models with ONE response variable.

Usage

RJC(object, id, verbose = TRUE)

Arguments

object	an object of mcglm class.
id	a vector which identifies the clusters. 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 RJC value.

Value

The value of the Rotnitzky-Jewell information criterion. Note that the function assumes that the data are in the correct order.

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 GOSHO.

wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.