glca: 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) <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>).

Package details

AuthorYoungsun Kim [aut, cre], Hwan Chung [aut]
MaintainerYoungsun Kim <>
Package repositoryView on CRAN
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glca documentation built on Nov. 3, 2021, 1:09 a.m.