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: | 1.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS, Rcpp |
| LinkingTo: | Rcpp |
| Published: | 2020-09-08 |
| 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 |
| NeedsCompilation: | yes |
| CRAN checks: | glca results |
| Reference manual: | glca.pdf |
| Package source: | glca_1.0.1.tar.gz |
| Windows binaries: | r-devel: glca_1.0.1.zip, r-release: glca_1.0.1.zip, r-oldrel: glca_1.0.1.zip |
| macOS binaries: | r-release: glca_1.0.1.tgz, r-oldrel: glca_1.0.1.tgz |
| Old sources: | glca archive |
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