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Re: st: RE: RE: generalized nonlinear models

From   Roger Harbord <[email protected]>
To   [email protected]
Subject   Re: st: RE: RE: generalized nonlinear models
Date   Tue, 9 Nov 2010 09:04:05 +0000

I believe you're right to conclude that Stata currently lacks a
facility to fit these models. Such a facility is non-trivial, however;
authorship of R's gnm package was supported by a professorial
fellowship, and it won the 2007 John M. Chambers Statistical Software
Award. <>.
PROC NLMIXED is an immensely flexible procedure that is the sole
reason I still have a SAS licence. I'm sure StataCorp have noticed
this thread, but I'd be most surprised if they contribute to it.


On 9 November 2010 01:40, Airey, David C <[email protected]> wrote:
> .
> Thanks again for the additional suggestions.
> What I was after was "generalized nonlinear models". -regress- is to -glm- as -nl- is to generalized nonlinear models. SAS offers the poisson distribution in the ML based PROC NLMIXED, which also offer mixed models.
> I found an example to emulate: slide 36 to 40 in <>. Although my data are animal (C. elegans) rather than plant, it looks just like my dose-response data, more of less.
> R gnm offers generalized linear models without random effects.
> Finally, I'm told offline that AD Model Builder ( can be used.
> -Dave
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