Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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:: 21023. Submitted: 2003-11-14. Published: 2005-09-05.
Paper: Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R     Download PDF (Downloads: 27706)
Supplements:
bivpois.pdf: Package "bivpois" documentation Download (Downloads: 2609; 175KB)
bivpois_0.50-3.tar.gz: R source package Download (Downloads: 1275; 70KB)
bivpois_0.50-3.zip: Windows binary source Download (Downloads: 1304; 131KB)
DOI: 10.18637/jss.v014.i10

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.