Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: GLLAMM: Predict Class Membership
From
Maarten Buis <[email protected]>
To
[email protected]
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, <[email protected]> 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
---------------------------------
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/