Hi, I perform latent class analysis on a matrix of dichotomous variables to create an indicator of class/category membership for each observation. I would like to know whether there is a function that selects the best fit in terms of number of classes/categories.
Currently, I am doing this with the lca() function of the e1071 package. This function requires me to specify the number of classes and to compare fit statistics for each run of lca. This becomes somewhat cumbersome the more variables the data matrix contains and, thus, the greater the number of possible classes is. I was wondering whether there is an alternative implemented in a different package that does exactly that. Thanks, Daniel -- View this message in context: http://r.789695.n4.nabble.com/Latent-class-analysis-selection-of-the-number-of-classes-tp3545538p3545538.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.