Smoothing with Mixed Model Software

Long Ngo and Matthew P. Wand

Journal of Statistical Software, 2004, vol. 009, issue i01

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.

Date: 2004-01-08
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:009:i01

DOI: 10.18637/jss.v009.i01

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