Package: FourWayHMM 1.0.0

Salvatore D. Tomarchio

FourWayHMM: Parsimonious Hidden Markov Models for Four-Way Data

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.

Authors:Salvatore D. Tomarchio [aut, cre], Antonio Punzo [aut], Antonello Maruotti [aut]

FourWayHMM_1.0.0.tar.gz
FourWayHMM_1.0.0.tar.gz(r-4.5-noble)FourWayHMM_1.0.0.tar.gz(r-4.4-noble)
FourWayHMM_1.0.0.tgz(r-4.4-emscripten)FourWayHMM_1.0.0.tgz(r-4.3-emscripten)
FourWayHMM.pdf |FourWayHMM.html✨
FourWayHMM/json (API)

# Install 'FourWayHMM' in R:
install.packages('FourWayHMM', repos = 'https://cloud.r-project.org')
Datasets:
  • simX - Simulated Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 252 downloads 2 exports 30 dependencies

Last updated 3 years agofrom:f180b5bbd9. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-linuxNOTEMar 12 2025
R-4.4-linuxNOTEMar 12 2025

Exports:HMM.fitHMM.init

Dependencies:clicodetoolscpp11data.tabledoSNOWdplyrfansiforeachgenericsglueiteratorsLaplacesDemonlifecyclemagrittrmclustpillarpkgconfigpurrrR6rlangsnowstringistringrtensortibbletidyrtidyselectutf8vctrswithr

Citation

To cite package ‘FourWayHMM’ in publications use:

Tomarchio S, Punzo A, Maruotti A (2021). FourWayHMM: Parsimonious Hidden Markov Models for Four-Way Data. R package version 1.0.0, https://CRAN.R-project.org/package=FourWayHMM.

Corresponding BibTeX entry: 

  @Manual{,
    title = {FourWayHMM: Parsimonious Hidden Markov Models for Four-Way
      Data},
    author = {Salvatore D. Tomarchio and Antonio Punzo and Antonello
      Maruotti},
    year = {2021},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=FourWayHMM},
  }