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
Packaged: 2026-10-27 11:49:57 UTC; root
Config/pak/sysreqs: libgmp3-dev libgsl0-dev libmpfr-dev
Repository: https://mackenzierneal.r-universe.dev
Date/Publication: 2025-10-10 22:50:02 UTC
RemoteUrl: https://github.com/cran/vscc
RemoteRef: HEAD
RemoteSha: 036f6a688e29918870c316cd79a0fb15b41a9823