Daniel, searching for 'latent class analysis' on http://www.r-project.org/search.html gives many results: the CRAN taskviews on psychometrics and the one on clustering both contain relevant links to packages that may do what you are looking for.
In particular, for general LCA there is package e1071, poLCA and randomLCA (the latter also has random effects hence the name). Other packages include flexmix and gamlss.mx hth, Ingmar PS: the link to the ppt file does not work On Mon, Jan 31, 2011 at 7:35 PM, Daniel Vecchiato <daniel.vecchi...@unipd.it > wrote: > Dear R users, > > I would like to perform Latent Class Logit Models for the analysis of > choice experiments in environmental valuation. > > This kind of analysis is usually performed with NLogit Software ( > http://www.limdep.com). > > I attach the results I usually obtain using NLogit and NLogit model > specifications. > > For Random parameter models and Logit Models I usually perform my analysis > with the package mlogit ( > http://cran.r-project.org/web/packages/mlogit/index.html ). > > The models I would like to run are presented in this ppt: > > > http://pages.stern.nyu.edu/~wgreene/.../Lectures/Part13-LatentClassModels.ppt<http://pages.stern.nyu.edu/%7Ewgreene/.../Lectures/Part13-LatentClassModels.ppt> > > and an overview is given in this paper by Hoyos: > > http://dx.doi.org/10.1016/j.ecolecon.2010.04.011 > > Anybody has any package to suggest for this kind of analysis? (poLCA does > not provide me the same estimates) > > > Thanks in advance > > Daniel > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
