Tag Archives: r

Ways to do Latent Class Analysis in R

The best way to do latent class analysis is by using Mplus, or if you are interested in some very specific LCA models you may need Latent Gold. Another decent option is to use PROC LCA in SAS. All the other ways and programs might be frustrating, but are helpful if your purposes happen to coincide with the specific R package.

CRAN offers plenty of different ways to get clusters on your data, but most of these packages have a very narrow and specific utility. For example, I found at least 15 packages involving latent class models, of which only six perform latent class analysis in the form of classification based on indicators, and only two of them allow including nominal indicators, and none allows including ordinal indicators.

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