Skip to content

FourWayHMM

Parsimonious Hidden Markov Models for Four-Way Data

v1.0.0 · Nov 30, 2021 · GPL (>= 3)

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.

Downloads

267

Last 30 days

11617th

267

Last 90 days

267

Last year

CRAN Check Status

4 NOTE
10 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang NOTE
r-devel-linux-x86_64-debian-gcc NOTE
r-devel-linux-x86_64-fedora-clang NOTE
r-devel-linux-x86_64-fedora-gcc NOTE
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Salvatore D. Tomarchio <daniele.tomarchio@unict.it>’

The Description field contains
  Tomarchio et al. (2020) <arXiv:2107.04330>.  The matrix-variate normal
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Salvatore D. Tomarchio <daniele.tomarchio@unict.it>’

The Description field contains
  Tomarchio et al. (2020) <arXiv:2107.04330>.  The matrix-variate normal
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘LaplacesDemon’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘LaplacesDemon’
  All declared Imports should be used.
OK r-devel-macos-arm64

*


            
OK r-devel-windows-x86_64

*


            
OK r-oldrel-macos-arm64

*


            
OK r-oldrel-macos-x86_64

*


            
OK r-oldrel-windows-x86_64

*


            
OK r-patched-linux-x86_64

*


            
OK r-release-linux-x86_64

*


            
OK r-release-macos-arm64

*


            
OK r-release-macos-x86_64

*


            
OK r-release-windows-x86_64

*


            

Check History

NOTE 10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Salvatore D. Tomarchio <daniele.tomarchio@unict.it>’

The Description field contains
  Tomarchio et al. (2020) <arXiv:2107.04330>.  The matrix-variate normal
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Salvatore D. Tomarchio <daniele.tomarchio@unict.it>’

The Description field contains
  Tomarchio et al. (2020) <arXiv:2107.04330>.  The matrix-variate normal
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘LaplacesDemon’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘LaplacesDemon’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies withr snow doSNOW foreach mclust tensor tidyr data.table LaplacesDemon FourWayHMM

Version History

new 1.0.0 Mar 10, 2026