Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS | Hin | Journal of Statistical Software
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.

Page views:: 5094. Submitted: 2005-01-27. Published: 2005-08-31.
Paper: An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS     Download PDF (Downloads: 5023)
Supplements:
cdgam-unix.zip: cdgam for unix Download (Downloads: 1083; 41KB)
cdgam-windows.zip: cdgam for windows Download (Downloads: 1049; 82KB)
DOI: 10.18637/jss.v014.i08

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.