文章基本信息

标题：Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R
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作者：Dimitris Karlis ; Ioannis Ntzoufras
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2005
卷号：14
期号：1
页码：1-36
语种：English
出版社：University of California, Los Angeles
摘要：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.