glca: An R Package for Estimating a Group-Effect in Latent Class Analysis

Fits latent class analysis (LCA) including group variable and covariates. The group variable can be handled either by multilevel LCA described in Vermunt (2003) <doi:10.1111/j.0081-1750.2003.t01-1-00131.x> or standard LCA at each level of group variable. The covariates can be incorporated in the form of logistic regression (Bandeen-Roche et al. (1997) <doi:10.1080/01621459.1997.10473658>).

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: MASS, Rcpp
LinkingTo: Rcpp
Suggests: covr, testthat
Published: 2020-10-23
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
Materials: NEWS
CRAN checks: glca results

Downloads:

Reference manual: glca.pdf
Package source: glca_1.1.0.tar.gz
Windows binaries: r-devel: glca_1.1.0.zip, r-release: glca_1.1.0.zip, r-oldrel: glca_1.1.0.zip
macOS binaries: r-release: glca_1.1.0.tgz, r-oldrel: glca_1.1.0.tgz
Old sources: glca archive

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