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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.

Page views:: 20287. Submitted: 2003-11-14. Published: 2005-09-05.
Paper: Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R     Download PDF (Downloads: 22749)
Supplements:
bivpois.pdf: Package "bivpois" documentation Download (Downloads: 2311; 175KB)
bivpois_0.50-3.tar.gz: R source package Download (Downloads: 1209; 70KB)
bivpois_0.50-3.zip: Windows binary source Download (Downloads: 1242; 131KB)

DOI: 10.18637/jss.v014.i10

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