Package: MatrixMixtures
Title: Model-Based Clustering via Matrix-Variate Mixture Models
Version: 1.0.0
Authors@R: c(
    person(given = "Salvatore D.",
           family = "Tomarchio",
           role = "aut"),
    person(given = "Michael P.B.",
           family = "Gallaugher",
           role = c("aut","cre"),
           email = "michael_gallaugher@baylor.edu"),
    person(given = "Antonio",
           family = "Punzo",
           role = "aut"),
    person(given = "Paul D.",
           family = "McNicholas",
           role = "aut"))
Description: Implements finite mixtures of matrix-variate contaminated
        normal distributions via expectation conditional-maximization
        algorithm for model-based clustering, as described in Tomarchio
        et al.(2020) <arXiv:2005.03861>. One key advantage of this
        model is the ability to automatically detect potential outlying
        matrices by computing their a posteriori probability of being
        typical or atypical points. Finite mixtures of matrix-variate t
        and matrix-variate normal distributions are also implemented by
        using expectation-maximization algorithms.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: doSNOW, foreach, snow, withr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-10-04 09:11:16 UTC; root
Author: Salvatore D. Tomarchio [aut], Michael P.B. Gallaugher [aut,
        cre], Antonio Punzo [aut], Paul D. McNicholas [aut]
Maintainer: Michael P.B. Gallaugher <michael_gallaugher@baylor.edu>
Repository: https://gallaump.r-universe.dev
Date/Publication: 2021-06-11 07:00:02 UTC
RemoteUrl: https://github.com/cran/MatrixMixtures
RemoteRef: HEAD
RemoteSha: ba09840cd78bba1cb0e3e5cce5eaff3913230166