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: 1.3.1
Depends: R (≥ 3.5.0)
Imports: MASS, Rcpp, graphics, grDevices
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, bookdown
Published: 2021-09-05
Author: Youngsun Kim [aut, cre], Hwan Chung [aut]
Maintainer: Youngsun Kim <kim0sun at korea.ac.kr>
BugReports: https://github.com/kim0sun/glca/issues/
License: GPL-3
URL: https://kim0sun.github.io/glca/
NeedsCompilation: yes
Citation: glca citation info
CRAN checks: glca results

Documentation:

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

Downloads:

Package source: glca_1.3.1.tar.gz
Windows binaries: r-devel: glca_1.3.1.zip, r-devel-UCRT: glca_1.3.1.zip, r-release: glca_1.3.1.zip, r-oldrel: glca_1.3.1.zip
macOS binaries: r-release (arm64): glca_1.3.1.tgz, r-release (x86_64): glca_1.3.1.tgz, r-oldrel: glca_1.3.1.tgz
Old sources: glca archive

Linking:

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