Smoothing with Mixed Model Software
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.
Year of publication: |
2004-01-08
|
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Authors: | Ngo, Long ; Wand, Matthew P. |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 09.2004, i01
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Publisher: |
American Statistical Association |
Saved in:
freely available
Saved in favorites
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