I have a class on “latent variable mixture models” (meaning factor-based models where data are characterized by multiple distributions) coming up, and I don’t know how to estimate such a model in R. Last year, my course was a mixture (ahem) of Mplus and lavaan (on the factor side), and of course the Mplus implementation of mixture models is very nice. But is there any tool in R that estimates such models? I don’t see the capability in lavaan yet, and my early searches have not turned up any other good option in R. I’ll go back to Mplus if I have to (call it a chance to show some parallels between lavaan and Mplus), but I’ve done everything with R so far this semester—shame to have to crawl back to commercial software now. (No offense meant to the Mplus team: their software is phenomenally excellent.)
--Ed Rigdon
I have a class on “latent variable mixture models” (meaning factor-based models where data are characterized by multiple distributions) coming up, and I don’t know how to estimate such a model in R. Last year, my course was a mixture (ahem) of Mplus and lavaan (on the factor side), and of course the Mplus implementation of mixture models is very nice. But is there any tool in R that estimates such models? I don’t see the capability in lavaan yet, and my early searches have not turned up any other good option in R. I’ll go back to Mplus if I have to (call it a chance to show some parallels between lavaan and Mplus), but I’ve done everything with R so far this semester—shame to have to crawl back to commercial software now. (No offense meant to the Mplus team: their software is phenomenally excellent.)
--Ed Rigdon
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