R help - Jan 2019 - Recommendations for a package capable of doing latent class regression with mixed indicator types

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

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