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.

Author
Ivonne Solis-Trapala
Date of publication
2014-01-16 15:41:52
Maintainer
Ivonne Solis-Trapala <ivonne.solis-trapala@mrc-hnr.cam.ac.uk>
License
GPL-2
Version
1.0

View on CRAN

Man pages

multinb.fit
Multivariate negative binomial model with robust estimation...
multinbmod
Regression analysis of overdispersed correlated count data
multinbmod-package
Regression analysis of overdispersed correlated count data
summary.multinbmod
Summary of a multinbmod object

Files in this package

multinbmod
multinbmod/NAMESPACE
multinbmod/R
multinbmod/R/multinbmod.r
multinbmod/MD5
multinbmod/DESCRIPTION
multinbmod/man
multinbmod/man/multinb.fit.Rd
multinbmod/man/multinbmod.Rd
multinbmod/man/summary.multinbmod.Rd
multinbmod/man/multinbmod-package.Rd