R help - Feb 2009 - generalized linear mixed models with a beta distribution

Has there been any follow up to this question? I have found myself wondering
the same thing: How then does SAS fit a beta distributed GLMM? It also fits
the negative binomial distribution. 

Both of these would be useful in glmer/lmer if they aren't 'illegal'
as
Brian suggested. Especially as SAS indicates a favorable delta BIC of over
1000 when I fit the beta to my data (could be the beginning of a great
song..) versus my original binomial fit.

Jeff Evans
Michigan State University

On Thu, Feb 26, 2009 at 12:04 PM, Jeff Evans <evansj18 at msu.edu>
wrote:
> Has there been any follow up to this question? I have found myself
wondering
> the same thing: How then does SAS fit a beta distributed GLMM? It also fits
> the negative binomial distribution.
When SAS decides to open-source their code we'll be able to find out.
> Both of these would be useful in glmer/lmer if they aren't
'illegal' as
> Brian suggested. Especially as SAS indicates a favorable delta BIC of over
> 1000 when I fit the beta to my data (could be the beginning of a great
> song..) versus my original binomial fit.
Definitions of generalized linear mixed models are not entirely
straightforward, at least for me.  I'm making some progress but, as
always, it is slower than one would like it to be.

You can fit this kind of model (and negative binomial) and more
difficult mixed models   with AD Model Builder's random effects module
which is now freely available at

     http://admb-project.org/


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