Package: vscc
Type: Package
Title: Variable Selection for Clustering and Classification
Version: 0.7
Date: 2023-10-17
Authors@R: c(person("Jeffrey L.", "Andrews", role = c("aut")),
  person("Mackenzie R.", "Neal", role = "aut"),
  person("Paul D.", "McNicholas", role = c("aut", "cre"), email = "mcnicholas@math.mcmaster.ca",
  comment = c(ORCID = "0000-0002-2482-523X")))
Author: Jeffrey L. Andrews [aut],
  Mackenzie R. Neal [aut],
  Paul D. McNicholas [aut, cre] (<https://orcid.org/0000-0002-2482-523X>)
Maintainer: Paul D. McNicholas <mcnicholas@math.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: 2023-10-17 17:17:35 UTC; paul
Date/Publication: 2023-10-17 22:20:02 UTC
Built: R 4.3.1; ; 2023-10-17 22:56:05 UTC; unix
