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Re: st: GLLAMM: Predict Class Membership


From   Maarten Buis <maartenlbuis@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: GLLAMM: Predict Class Membership
Date   Wed, 19 Sep 2012 13:09:27 +0200

On Wed, Sep 19, 2012 at 12:34 PM,  <m.spitzenpfeil@gmx.net> wrote:
> is there any way to predict individual latent class membership
> as a dummy variable - and not in terms of probability - using
> GLLAMM?

You can always assign each individual to class on which it has the
highest probability. However, that does not fit well with the logic
behind these models: these models accept that we do not know which
person belongs to which class and are all about modeling the
probabilities instead. What might make more sense is to make multiple
datasets and in each of these datasets assign each individual member
at random to a class based on the predicted probabilities.

Hope this helps,
Maarten

---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany

http://www.maartenbuis.nl
---------------------------------
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