  The R package multgee implements the local odds ratios generalized estimating
equations (GEE) approach proposed by Touloumis et al. (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 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. 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.
