Re[2]: [S] Re: Generalized Linear Mixed Models

cristofer_price@abtassoc.com
Wed, 04 Mar 98 10:06:11 est


No, the generalized linear mixed model is not the same as the GAM.
The model Janey is talking about is talking about is similar to
what you could do with the lme() function in Splus for continuous
data, but Janey wants to do it for categorical data. As mentioned by
Janey, this type of model can be fit in SAS using the
SAS macro 'glimmix.sas'. It can be fit in HLM where they refer
to them as HGLMs (hierarchical generalized linear models), or in
MLn using the 'NONLIN' macros, or in Hedeker's MIXOR software.
I don't know of any functions available in Splus to fit these kinds
of models.

- Cris Price

______________________________ Reply Separator _________________________________
Subject: Re: [S] Re: Generalized Linear Mixed Models
Author: Kutsyy <kutsyy@umich.edu> at internet
Date: 3/4/98 9:13 AM

Than what you want is called "Generalized Additive Model" or GAM, where
effects could be fixed, random or smoothed (loess, spines, etc.). Splus
command is
gam(...)

There is some help available from Splus.
janey@utstat.toronto.edu wrote:
>
> Hi
>
> In my original post I inquired whether anyone knew of a Splus
> program that would do generalized linear mixed models. I was
> looking for a program that was similar to the SAS macro 'glimmix.sas'
> that allows both random and fixed effects in a generalized linear model.
> Everyone pointed me to Vince Carey's GEE function but this isn't what
> I wanted.
>
> Janey
>
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-- 
Vadim Kutsyy
kutsyy@umich.edu
http://www.stat.lsa.umich.edu/~kutsyy 
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