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>.
| Version: | 0.8 |
| Depends: | ManlyMix |
| Imports: | teigen, mclust, MixGHD |
| Published: | 2025-10-10 |
| DOI: | 10.32614/CRAN.package.vscc |
| Author: | Jeffrey L. Andrews [aut],
Mackenzie R. Neal [aut, cre],
Paul D. McNicholas
 [aut] |
| Maintainer: | Mackenzie R. Neal <nealm6 at mcmaster.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | vscc citation info |
| Materials: | ChangeLog |
| CRAN checks: | vscc results |
Documentation:
| Reference manual: | vscc.html , vscc.pdf |
Downloads:
| Package source: | vscc_0.8.tar.gz |
| Windows binaries: | r-release: vscc_0.8.zip, r-oldrel: vscc_0.8.zip |
| macOS binaries: | r-release (arm64): vscc_0.8.tgz, r-oldrel (arm64): vscc_0.8.tgz, r-release (x86_64): vscc_0.8.tgz, r-oldrel (x86_64): vscc_0.8.tgz |
| Old sources: | vscc archive |
Linking:
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