Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Anestis Touloumis
Title: R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses
Abstract: The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis, Agresti, and Kateri (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical limitations of the GEE method. A main strength of multgee is that it provides GEE routines for both ordinal (ordLORgee) and nominal (nomLORgee) responses, while relevant other softwares in R and SAS are restricted to ordinal responses under a marginal cumulative link model specification. In addition, multgee offers a marginal adjacent categories logit model for ordinal responses and a marginal baseline category logit model for nominal responses. Further, utility functions are available to ease the local odds ratios structure selection ( and to perform a Wald type goodness-of-fit test between two nested GEE models (waldts). We demonstrate the application of multgee through a clinical trial with clustered ordinal multinomial responses.

Page views:: 6326. Submitted: 2013-06-08. Published: 2015-03-20.
Paper: R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses     Download PDF (Downloads: 3187)
multgee_1.5.1.tar.gz: R source package Download (Downloads: 250; 365KB)
v64i08.R: R example code from the paper Download (Downloads: 344; 3KB)

DOI: 10.18637/jss.v064.i08

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.