vscc
Variable Selection for Clustering and Classification
Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix'). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023) <doi:10.48550/arXiv.2305.16464>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.8 |
rolling linux/jammy R-4.5 | vscc_0.8.tar.gz |
54.5 KiB |
0.8 |
rolling linux/noble R-4.5 | vscc_0.8.tar.gz |
54.3 KiB |
0.8 |
rolling source/ R- | vscc_0.8.tar.gz |
9.2 KiB |
0.8 |
latest linux/jammy R-4.5 | vscc_0.8.tar.gz |
54.5 KiB |
0.8 |
latest linux/noble R-4.5 | vscc_0.8.tar.gz |
54.3 KiB |
0.8 |
latest source/ R- | vscc_0.8.tar.gz |
9.2 KiB |
0.8 |
2026-04-26 source/ R- | vscc_0.8.tar.gz |
9.2 KiB |
0.8 |
2026-04-23 source/ R- | vscc_0.8.tar.gz |
9.2 KiB |
0.8 |
2026-04-09 windows/windows R-4.5 | vscc_0.8.zip |
57.1 KiB |
0.7 |
2025-04-20 source/ R- | vscc_0.7.tar.gz |
9.1 KiB |