rebmix
Finite Mixture Modeling, Clustering & Classification
Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.17.1 |
rolling linux/jammy R-4.5 | rebmix_2.17.1.tar.gz |
3.0 MiB |
2.17.1 |
rolling linux/noble R-4.5 | rebmix_2.17.1.tar.gz |
3.0 MiB |
2.17.1 |
rolling source/ R- | rebmix_2.17.1.tar.gz |
2.2 MiB |
2.17.1 |
latest linux/jammy R-4.5 | rebmix_2.17.1.tar.gz |
3.0 MiB |
2.17.1 |
latest linux/noble R-4.5 | rebmix_2.17.1.tar.gz |
3.0 MiB |
2.17.1 |
latest source/ R- | rebmix_2.17.1.tar.gz |
2.2 MiB |
2.17.1 |
2026-04-26 source/ R- | rebmix_2.17.1.tar.gz |
2.2 MiB |
2.17.1 |
2026-04-23 source/ R- | rebmix_2.17.1.tar.gz |
2.2 MiB |
2.17.1 |
2026-04-09 windows/windows R-4.5 | rebmix_2.17.1.zip |
3.1 MiB |
2.16.0 |
2025-04-20 source/ R- | rebmix_2.16.0.tar.gz |
2.1 MiB |