Installation
About
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) doi:10.1080/01621459.1997.10473658; Clogg and Goodman (1985) doi:10.2307/270847) and nonparametric random-effect LCA (Vermunt (2003) doi:10.1111/j.0081-1750.2003.t01-1-00131.x).
| Citation | glca citation info |
| kim0sun.github.io/glca/ | |
| Bug report | File report |
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