cauchypca
1.4Robust Principal Component Analysis Using the Cauchy Distribution
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
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.cauchypcaBibTeX, 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/cauchypcaRIS
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.