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
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Authors: Lin Yee Hin, Vincent Carey
Title: An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
Abstract: 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.

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Paper: An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS     Download PDF (Downloads: 5204)
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DOI: 10.18637/jss.v014.i08

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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.