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Re: st: GLLAMM for an ecological dataset with issues


From   "JVerkuilen (Gmail)" <jvverkuilen@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: GLLAMM for an ecological dataset with issues
Date   Wed, 13 Feb 2013 00:37:06 -0500

On Tue, Feb 12, 2013 at 3:55 PM, Benita Kaytor <Benita.Kaytor@unbc.ca> wrote:
> Thank you Joerg,
>
> Good advice! I will run a simpler model, and I think specifying the family and link is more important than complicating it with random effects, at least for now.

If it's something you would log-transform the DV, you might consider
the following trick:

http://blog.stata.com/2011/08/22/use-poisson-rather-than-regress-tell-a-friend/

It works really well.

Then you could specify your ultimate model in xtmepoisson, which is
undoubtedly faster than gllamm. gllamm is kind of like trying to do
fine carving with a pocketknife. It can do a lot of things but it's
very generality makes it not so optimized for any one task.
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