Sure, sorry for not clarifying from the beginning. LEM is a rather powerful software for conducting general loglinear analysis, including latent class, logit, latent Markov, Event History models, etc. It's very polyvalent.
Link to the software and document is at http://www.tilburguniversity.edu/nl/over-tilburg-university/schools/socialsciences/organisatie/departementen/mto/software2.html. Since I use R for other types of analyses, it would be good to have the equivalent in R without having to go back and forth between LEM and R. The packages that do LCA in R miss several important features (L-square statistic, Entropy, Cressie-Read, residuals, etc.). Thanks, David Joubert > Date: Fri, 6 May 2011 09:37:02 +1000 > From: a.robin...@ms.unimelb.edu.au > To: jo...@hotmail.com > CC: r-help@r-project.org > Subject: Re: [R] Vermunt's LEM in R > > Hi David, > > you might have more luck with your request if you tell us what > Vermunt's LEM *does*, and provided some links to introductory reading > material ... > > Cheers > > Andrew > > On Thu, May 05, 2011 at 03:34:02PM +0000, David Joubert wrote: > > > > Hello- > > > > Does anyone know of packages that could emulate what J. Vermunt's LEM does > > ? What is the closest relative in R ? > > I use both R and LEM but have trouble transforming my multiway tables in R > > into a .dat file compatible with LEM. > > > > Thanks, > > > > David Joubert > > > > [[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. > > -- > Andrew Robinson > Program Manager, ACERA > Department of Mathematics and Statistics Tel: +61-3-8344-6410 > University of Melbourne, VIC 3010 Australia (prefer email) > http://www.ms.unimelb.edu.au/~andrewpr Fax: +61-3-8344-4599 > http://www.acera.unimelb.edu.au/ > > Forest Analytics with R (Springer, 2011) > http://www.ms.unimelb.edu.au/FAwR/ > Introduction to Scientific Programming and Simulation using R (CRC, 2009): > http://www.ms.unimelb.edu.au/spuRs/ [[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.
