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.

Package details

AuthorIvonne Solis-Trapala
MaintainerIvonne Solis-Trapala <[email protected]>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("multinbmod")

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multinbmod documentation built on May 2, 2019, 4:21 a.m.