R help - Nov 2008 - latent class analysis of nominal and continuous indicators

Dear R-help listers,

I am a new convert to R. I am trying to use a r package to conduct latent
class analysis as a triangulation check of my cluster analysis using the
cluster package in R. I have about 30 cases and 6 indicators, some of which
are binary indicators and others are ratio-level variables (percentages). I
looked around for information in flexmix, lca, and poLCA, and couldn't find
anything relevant or probably I missed them. I checked MPlus, and it seems
to me MPlus can handle latent class analysis with indicators of different
measurement levels (continous or nominal). And my intuition is that R ought
to be able to it. Any ideas about which package I should use and any
examples that I can model after.

As a long-time user of Stata, I am also used to making easy tables (of
regression results like those in published journal articles) using the
estout command. I am not sure if R has similar functionalities. Thanks!

Jun Xu, Ph.D.
Assistant Professor
Ball State University
Muncie, IN 47306

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