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[S] GAM interaction terms

daemon@ATHENA.MIT.EDU (Cande V. Ananth)
Mon Sep 20 11:27:22 1999

Date: Mon, 20 Sep 1999 11:17:49 -0400 (EDT)
From: "Cande V. Ananth" <ananthcv@epi.umdnj.edu>
Message-Id: <199909201517.LAA14803@epi.umdnj.edu>
To: s-news@wubios.wustl.edu



    I'm attempting to fit a Poisson regression model to with 2
    continuous variables, X1 and X2, using the gam() function.
    I'm allowing smooth terms for X1 and X2. The data contain
    about 80,000 observations. The code that I have is:

    gam.fit1 <- gam(y ~ s(X1, degrees=2, span=1/2) +
                        s(X2, degrees=2, span=1.2), 
                        family=poisson, na.action=na.omit)

 1. I need to allow an interaction term for s(X1) and s(X2).
    How can I do that in gam() ? Moreover, even simple models
    in gam(), [gam(y ~ s(X1), family=poisson)] given the size
    of my data, takes about 30 minutes to converge !

 2. Are there any papers/books/unpublished materials/etc that
    explains the gam() functions, or even a "case-study" which
    provides the gam() codes used for data analysis ? I have
    looked at the SPlus manuals, and the Chambers & Hastie
    books. 

    I'm using SPlus 3.4 on the UNIX with the Solaris OS. My
    machine has 512 megs memory, and runs on a 333 mHz processor.
    I'd appreciate any help. Thanks.

--
Cande Ananth
ananthcv@EPI.UMDNJ.EDU
UMDNJ, Dept of OB/GYN
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