Skip to content

cauchypca

1.4

Robust Principal Component Analysis Using the Cauchy Distribution

0packages depend
2.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Michail TsagrisFirst published 2022-11-095 releasesCRAN page ↗

A new robust principal component analysis algorithm is implemented that relies upon the Cauchy Distribution. The algorithm is suitable for high dimensional data even if the sample size is less than the number of variables. The methodology is described in this paper: Fayomi A., Pantazis Y., Tsagris M. and Wood A.T.A. (2024). "Cauchy robust principal component analysis with applications to high-dimensional data sets". Statistics and Computing, 34: 26. doi:10.1007/s11222-023-10328-x.

Install

Health

CRAN checks
13OK
Slowest check: 9.2 min · r-oldrel-macos-arm64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
67%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #11,853 · ~7/day · ~217/mo
Daily download trend is not available in this view yet.
18630 days
83290 days
2.6K1 year
Compare downloads with other packages →
Also on125 r2u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
Imports (5)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (3)
Contributor
Contributor
Contributor
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.4Latest
    2026-06-16 · current release · diff ↗
  • 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
  • 1.3
    2024-01-24 · diff ↗
  • 1.2
    2023-10-22 · diff ↗
  • 1.1
    2023-09-15 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0
    2022-11-09
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-11-09
Total releases
5 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
4.5 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("cauchypca")

CRAN DOI

https://doi.org/10.32614/CRAN.package.cauchypca

BibTeX, derived from DESCRIPTION

@Manual{cauchypca,
  title  = {cauchypca: Robust Principal Component Analysis Using the Cauchy
Distribution},
  author = {Tsagris, Michail and Fayomi, Aisha and Pantazis, Yannis and Wood, Andrew T.A.},
  year   = {2026},
  note   = {R package version 1.4},
  doi    = {10.32614/CRAN.package.cauchypca},
  url    = {https://CRAN.R-project.org/package=cauchypca}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorycauchypca,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {cauchypca} version 1.4},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/cauchypca},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cauchypca version 1.4 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/cauchypca

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for cauchypca version 1.4
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/cauchypca
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/cauchypca.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy