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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

VersionRepositoryFileSize
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

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