Message-ID: <40e66e0b0902261249p14b97a1akfdc8f6fe63fe8af6@mail.gmail.com>
Date: 2009-02-26T20:49:35Z
From: Douglas Bates
Subject: generalized linear mixed models with a beta distribution
In-Reply-To: <B55051D33BDD42E8B86FE43EE3CF3A5E@myelin>
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.