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st: New on SSC: -fmmlc- for postestimation w/ finite mixture models


From   Joerg Luedicke <joerg.luedicke@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: New on SSC: -fmmlc- for postestimation w/ finite mixture models
Date   Tue, 21 Jun 2011 11:12:22 -0400

Hi everybody!

Thanks to Kit Baum, a new program (-fmmlc-) is available from SSC.
Type -ssc install fmmlc- to install it or -ssc describe fmmlc- for a
summary. Once installed, type -help fmmlc- for further information
and instructions.

-fmmlc- is a postestimation tool for -fmm-, Partha Deb's (2008) package with
which to fit finite mixture regression models. -fmmlc- provides a convenient
overview of latent class posterior probabilities, classification of
subjects based
on most likely latent class membership, average posterior
probabilities by latent
class, the quality of a classification (entropy), and the information
criteria AIC,
BIC, and a sample size adjusted BIC. -fmmlc- optionally saves a categorical
variable indicating latent class membership and/or latent class
posterior probabilities.

Any questions, criticism, or suggestions are most welcome and should be send to
the following email address:

joerg.luedicke1@gmail.com

All the best,

Joerg


References:

Deb, P. (2008). FMM: Stata module to estimate finite mixture models.
Statistical Software
Components, Boston College Department of Economics,
http://econpapers.repec.org/RePEc:boc:bocode:s456895.
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