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st: RE: RE: generalized nonlinear models
From
"Airey, David C" <[email protected]>
To
"[email protected]" <[email protected]>
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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