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>).

Version: 1.4.0
Depends: R (≥ 3.5.0)
Imports: MASS, Rcpp, graphics, grDevices
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, bookdown
Published: 2023-04-26
DOI: 10.32614/CRAN.package.glca
Author: Youngsun Kim [aut, cre], Hwan Chung [aut]
Maintainer: Youngsun Kim <yskstat at>
License: GPL-3
NeedsCompilation: yes
Citation: glca citation info
CRAN checks: glca results


Reference manual: glca.pdf
Vignettes: Introduction to glca package
Model description for glca


Package source: glca_1.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): glca_1.4.0.tgz, r-oldrel (arm64): glca_1.4.0.tgz, r-release (x86_64): glca_1.4.0.tgz, r-oldrel (x86_64): glca_1.4.0.tgz
Old sources: glca archive


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