Re: [R] TR: Latent Class Analysis

From: Robert Mcfadden <robert-mcfadden_at_o2.pl>
Date: Fri 14 Jul 2006 - 17:13:09 EST

> De : Pousset [mailto:maud.pousset@noos.fr]
> Envoyi : mardi 4 juillet 2006 18:38
> @ : 'r-help@stat.math.ethz.ch'
> Objet : Latent Class Analysis
>
>
>
> Hello everybody,
>
>
>
> I am working on latent class analysis and have already used the R
> function
> + lca ; (in the e1071 package). I ve got interesting results but I cant
> simply find out the methodology used by this routine :
>
> 1) What kind of model is behind the routine (mixture model? If so, can you
> choose among different kind of distributions such as normal, Poisson,
> binomial)
>
> 2) What kind of algorithm is used (hierarchical methods? Relocation
> methods?)
>
> 3) Which criterion allows determining the best model?
>
> In addition, I wonder if it is possible, with R software, to determine the
> best number of class or do one have to fix it a priori.
>
> If one can help, thanks a lot,
>
>
>
> Maud
>
> INSERM U669, Cochin Hospital, Paris
>
>
>

You can use package (available at R page) poLCA that has documentation describing what you want. Look also at http://dlinzer.bol.ucla.edu/poLCA/ As far as you know BIC, AIC (based on chi-sqr and G^2 statistics) and Cressie-Read allow you to choose the most appropriate model. Best,
Robert



R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Fri Jul 14 18:28:04 2006

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.1.8, at Fri 14 Jul 2006 - 20:14:03 EST.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.