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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. <http://www2.warwick.ac.uk/fac/sci/statistics/staff/research/turner/gnm>.
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.
Roger.
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 <www.uiweb.uidaho.edu/ag/statprog/BillWSWS05.ppt>. 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 (http://admb-project.org) can be used.
>
> -Dave
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