Package: FourWayHMM
Title: Parsimonious Hidden Markov Models for Four-Way Data
Version: 1.0.0
Authors@R: c(
    person(given = "Salvatore D.",
           family = "Tomarchio",
           role = c("aut","cre"),
           email = "daniele.tomarchio@unict.it"),
    person(given = "Antonio",
           family = "Punzo",
           role = "aut"),
    person(given = "Antonello",
           family = "Maruotti",
           role = "aut"))
Description: Implements parsimonious hidden Markov models for four-way data via expectation-
    conditional maximization algorithm, as described in Tomarchio et al. (2020) <arXiv:2107.04330>.
    The matrix-variate normal distribution is used as emission distribution. For each hidden
    state, parsimony is reached via the eigen-decomposition of the covariance matrices of the
    emission distribution. This produces a family of 98 parsimonious hidden Markov models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: withr, snow, doSNOW, foreach, mclust, tensor, tidyr,
        data.table, LaplacesDemon
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-11-29 17:24:17 UTC; Daniele
Author: Salvatore D. Tomarchio [aut, cre],
  Antonio Punzo [aut],
  Antonello Maruotti [aut]
Maintainer: Salvatore D. Tomarchio <daniele.tomarchio@unict.it>
Repository: CRAN
Date/Publication: 2021-11-30 21:20:02 UTC
Built: R 4.6.0; ; 2026-04-29 17:53:36 UTC; unix
