_____ De : Pousset [mailto:[EMAIL PROTECTED] Envoyé : mardi 4 juillet 2006 18:38 À : '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 [[alternative HTML version deleted]]
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