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cauchypca

1.4Package record

Robust Principal Component Analysis Using the Cauchy Distribution

0packages depend
3.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

3.1K
CRAN downloads in the past year
Rank #9,643 · ~8/day · ~254/mo
Daily download trend is not available in this view yet.
34430 days
1K90 days
3.1K1 year
Compare downloads with other packages →
Also on105 r2u1 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing cauchypca adds 8 packages (5 with compiled code, 4.4 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, RcppParallel 744 KB.

Depends (1)
R >= 4.0
Imports (5)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 1.0 (2022)
Contributor
Contributor
Contributor
Releases (5)

Pick two releases to compare their code metrics.

  • 1.4Latest
    record
    2026-06-15 · 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
    record
    2024-01-24 · diff ↗ ·
    added 1 export
    cauchy.mle
  • 1.2
    record
    2023-10-22 · diff ↗ ·
    added 1 export
    .onAttach
  • 1.1
    record
    2023-09-15 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0
    record
    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
4.4 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cauchypca")
Tsagris, M., Fayomi, A., Pantazis, Y., & Wood, A. T. A. (2026). cauchypca: Robust Principal Component Analysis Using the Cauchy Distribution (Version 1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.cauchypca

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 cauchypca version 1.4 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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