An R Package for Multiple-Group Latent Class Analysis
Fits multiple-group latent class analysis (LCA) for exploring
differences between populations in the data with a multilevel structure.
There are two approaches to reflect group differences in glca:
fixed-effect LCA (Bandeen-Roche et al (1997) ;
Clogg and Goodman (1985) ) and nonparametric random-effect LCA
(Vermunt (2003) ).