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st: RE: RE: generalized nonlinear models


From   "Airey, David C" <david.airey@vanderbilt.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: RE: RE: generalized nonlinear models
Date   Mon, 8 Nov 2010 19:40:21 -0600

.

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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