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: Long Ngo, Matthew P. Wand
Title: Smoothing with Mixed Model Software
Abstract: Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing. We illustrate this for several smoothing models such as additive and varying coefficient models for both S-PLUS and SAS software. Code for each of the illustrations is available on the Internet.

Page views:: 13203. Submitted: 2003-09-25. Published: 2004-01-08.
Paper: Smoothing with Mixed Model Software     Download PDF (Downloads: 14105)
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DOI: 10.18637/jss.v009.i01

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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.