Package: vscc
Type: Package
Title: Variable Selection for Clustering and Classification
Version: 0.8
Date: 2025-10-08
Authors@R: c(person("Jeffrey L.", "Andrews", role = c("aut")),
  person("Mackenzie R.", "Neal", role = c("aut", "cre"), email = "nealm6@mcmaster.ca"),
  person("Paul D.", "McNicholas", role = "aut",
  comment = c(ORCID = "0000-0002-2482-523X")))
Author: Jeffrey L. Andrews [aut],
  Mackenzie R. Neal [aut, cre],
  Paul D. McNicholas [aut] (ORCID:
    <https://orcid.org/0000-0002-2482-523X>)
Maintainer: Mackenzie R. Neal <nealm6@mcmaster.ca>
Description: 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>. 
License: GPL (>= 2)
Imports: teigen, mclust, MixGHD
Depends: ManlyMix
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-10-10 16:11:08 UTC; mackenzieneal
Date/Publication: 2025-10-10 22:50:02 UTC
Built: R 4.6.0; ; 2026-04-27 13:25:30 UTC; unix
