[S] Re: Generalized Linear Mixed Models

janey@utstat.toronto.edu
Wed, 4 Mar 1998 11:22:33 -0500 (EST)


Exactly. Thanks for the clarification.

Janey

>
> 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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