glca: Latent Class Analysis with Grouped Data

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: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.3), MASS
LinkingTo: Rcpp
Published: 2020-05-30
Author: Youngsun Kim, Hwan Chung
Maintainer: Youngsun Kim <kim0sun at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: glca results


Reference manual: glca.pdf
Package source: glca_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: glca_0.1.1.tgz, r-oldrel: glca_0.1.1.tgz
Old sources: glca archive


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