mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
6.1.2 |
rolling linux/jammy R-4.5 | mclust_6.1.2.tar.gz |
3.9 MiB |
6.1.2 |
rolling linux/noble R-4.5 | mclust_6.1.2.tar.gz |
3.9 MiB |
6.1.2 |
rolling source/ R- | mclust_6.1.2.tar.gz |
2.6 MiB |
6.1.2 |
latest linux/jammy R-4.5 | mclust_6.1.2.tar.gz |
3.9 MiB |
6.1.2 |
latest linux/noble R-4.5 | mclust_6.1.2.tar.gz |
3.9 MiB |
6.1.2 |
latest source/ R- | mclust_6.1.2.tar.gz |
2.6 MiB |
6.1.2 |
2026-04-26 source/ R- | mclust_6.1.2.tar.gz |
2.6 MiB |
6.1.2 |
2026-04-23 source/ R- | mclust_6.1.2.tar.gz |
2.6 MiB |
6.1.2 |
2026-04-09 windows/windows R-4.5 | mclust_6.1.2.zip |
3.9 MiB |
6.1.1 |
2025-04-20 source/ R- | mclust_6.1.1.tar.gz |
2.6 MiB |