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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.2 |
rolling source/ R- | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
rolling linux/jammy R-4.5 | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
rolling linux/noble R-4.5 | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
latest source/ R- | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
latest linux/jammy R-4.5 | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
latest linux/noble R-4.5 | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
2026-04-23 source/ R- | glca_1.4.2.tar.gz |
1.0 MiB |
1.4.2 |
2026-04-09 windows/windows R-4.5 | glca_1.4.2.zip |
1.3 MiB |
1.4.2 |
2025-04-20 source/ R- | glca_1.4.2.tar.gz |
1.0 MiB |