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Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R | Karlis | Journal of Statistical Software
Authors: Dimitris Karlis, Ioannis Ntzoufras
Title: Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R
Abstract: In this paper we present an R package called bivpois for maximum likelihood estimation of the parameters of bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented. Inflated models allow for modelling both over-dispersion (or under-dispersion) and negative correlation and thus they are appropriate for a wide range of applications. Extensions of the algorithms for several other models are also discussed. Detailed guidance and implementation on simulated and real data sets using bivpois package is provided.

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Paper: Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R     Download PDF (Downloads: 23180)
Supplements:
bivpois.pdf: Package "bivpois" documentation Download (Downloads: 2334; 175KB)
bivpois_0.50-3.tar.gz: R source package Download (Downloads: 1220; 70KB)
bivpois_0.50-3.zip: Windows binary source Download (Downloads: 1249; 131KB)
DOI: 10.18637/jss.v014.i10

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