Package: glca 1.4.2
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>).
Authors:
glca_1.4.2.tar.gz
glca_1.4.2.zip(r-4.5)glca_1.4.2.zip(r-4.4)glca_1.4.2.zip(r-4.3)
glca_1.4.2.tgz(r-4.4-x86_64)glca_1.4.2.tgz(r-4.4-arm64)glca_1.4.2.tgz(r-4.3-x86_64)glca_1.4.2.tgz(r-4.3-arm64)
glca_1.4.2.tar.gz(r-4.5-noble)glca_1.4.2.tar.gz(r-4.4-noble)
glca_1.4.2.tgz(r-4.4-emscripten)glca_1.4.2.tgz(r-4.3-emscripten)
glca.pdf |glca.html✨
glca/json (API)
| # Install 'glca' in R: |
| install.packages('glca', repos = c('https://kim0sun.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kim0sun/glca/issues
latent-class-analysismultilevel-models
Last updated 22 days agofrom:ff7f8c9474. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 27 2024 |
| R-4.5-win-x86_64 | OK | Aug 27 2024 |
| R-4.5-linux-x86_64 | OK | Aug 27 2024 |
| R-4.4-win-x86_64 | OK | Aug 27 2024 |
| R-4.4-mac-x86_64 | OK | Aug 27 2024 |
| R-4.4-mac-aarch64 | OK | Aug 27 2024 |
| R-4.3-win-x86_64 | OK | Aug 27 2024 |
| R-4.3-mac-x86_64 | OK | Aug 27 2024 |
| R-4.3-mac-aarch64 | OK | Aug 27 2024 |
