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MatrixMixtures

1.0.0Package record

Model-Based Clustering via Matrix-Variate Mixture Models

0packages depend
2.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Michael P.B. Gallaugher <michael_gallaugher@baylor.edu>’

The Description field contains
  <arXiv:2005.03861>. One key advantage of this model is the ability to
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 59 s · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-07-21
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-07-18
  • NOTE11 OK, 2 NOTE2026-05-12
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-05-09
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #21,404 · ~7/day · ~204/mo
Daily download trend is not available in this view yet.
21730 days
62090 days
2.5K1 year
Compare downloads with other packages →
Also on72 r2u4 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing MatrixMixtures adds 5 packages (0 with compiled code, 511 KB of source tarballs). Heaviest: iterators 293 KB, withr 102 KB, foreach 88 KB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2021)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0Latest
    2021-06-11 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-06-11
Total releases
1 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
3.0 KB / 1 file
Download size
9.8 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MatrixMixtures")
Gallaugher, M. P. B., McNicholas, P. D., Punzo, A., & Tomarchio, S. D. (2021). MatrixMixtures: Model-Based Clustering via Matrix-Variate Mixture Models (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MatrixMixtures

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MatrixMixtures version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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