rrobot: Robust Outlier Detection for Diverse Distributions
Provides robust outlier detection techniques for identifying
anomalies in multivariate data, with a focus on methods that remain
effective under non-Gaussian distributions. For more details see
Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.
| Version: |
0.1.3 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
MASS, stats, cellWise, expm, robustbase, gamlss, imputeTS, isotree, ggplot2, tidyr, reshape2, rlang |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-03-09 |
| DOI: |
10.32614/CRAN.package.rrobot |
| Author: |
Amanda Mejia [aut, cre],
Damon Pham  [ctb],
Saranjeet Singh Saluja [ctb],
Fatma Parlak [ctb],
Zeshawn Zahid [ctb] |
| Maintainer: |
Amanda Mejia <mandy.mejia at gmail.com> |
| BugReports: |
https://github.com/mandymejia/rrobot/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/mandymejia/rrobot |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
rrobot results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rrobot
to link to this page.