R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses

Anestis Touloumis

Journal of Statistical Software, 2015, vol. 064, issue i08

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 (intrinsic.pars) 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.

Date: 2015-03-20
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:064:i08

DOI: 10.18637/jss.v064.i08

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