multinbmod: Regression analysis of overdispersed correlated count data

This is a likelihood approach for the regression analysis of overdispersed correlated count data with cluster varying covariates. The approach fits a multivariate negative binomial model by maximum likelihood and provides robust estimates of the regression coefficients.

Version: 1.0
Published: 2014-01-16
Author: Ivonne Solis-Trapala
Maintainer: Ivonne Solis-Trapala <ivonne.solis-trapala at mrc-hnr.cam.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: multinbmod results

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Reference manual: multinbmod.pdf
Package source: multinbmod_1.0.tar.gz
Windows binaries: r-devel: multinbmod_1.0.zip, r-release: multinbmod_1.0.zip, r-oldrel: multinbmod_1.0.zip
OS X El Capitan binaries: r-release: multinbmod_1.0.tgz
OS X Mavericks binaries: r-oldrel: multinbmod_1.0.tgz

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