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: 2021-06-10 07:39:02 UTC; michael_gallaugher
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: CRAN
Date/Publication: 2021-06-11 08:00:02 UTC
Built: R 4.5.0; ; 2025-04-01 09:54:20 UTC; unix
