文章基本信息

标题：An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
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作者：Lin Yee Hin ; Vincent Carey
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：1-24
语种：English
出版社：University of California, Los Angeles
摘要：We present a set of functions in S-PLUS to implement the clustered data generalized additive marginal modelling (CDGAM) strategy proposed by Berhane and Tibshirani (1998). A variety of working correlation structures are supported, and the regression basis may include components from the family of smoothing splines.