Dear R users, Does anyone have a recommendation for an R package that can:
1. Handle mixed types of indicators (in my case, both binary and Gaussian) 2. Fit a latent class regression (i.e. use observed covariates to predict latent class membership)? 3. Incorporate programs to do things like profile plots of class characteristics? I'm aware of 3 packages that can do some of what I want. The depmixS4 package does 1 and 2, but doesn't appear to have native graphing facilities. poLCA does 2 and 3, but it only takes binary and ordinal indicators. flexmix appears to do 1 and 3, but it doesn't appear to perform latent class regression. I've done all 3 of the above in Stata 15, and I'm actually much more proficient in Stata, but I will have some trouble accessing that program for this project thanks to institutional changes (long story, don't want to explain, but I could access that software if there's no R alternative). I would like to know if I've missed any packages in my survey, or if I'm misreading the capabilities of the packages, or if graphing is easier than I think it is. Thanks, Weiwen Ng, MPH University of Minnesota School of Public Health [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.