A Latent Class Tree model is estimated with Latent GOLD 5.1. A 2class split is performed on the data (can be increased by adjusting maxClassSplit1) and a new dataset is constructed for each class by multiplying the original weights with the posterior membership probabilities. Subsequently the procedure is repeated for the new classes and this goes on untill no classes are split further.
Package details 


Author  Mattis van den Bergh 
Maintainer  Mattis van den Bergh <[email protected]> 
License  GPL (>= 2) 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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