Robust Outliers Detection
Overview
Detecting outliers using robust methods, i.e. the Median Absolute Deviation (MAD) for univariate outliers; Leys, Ley, Klein, Bernard, & Licata (2013) doi:10.1016/j.jesp.2013.03.013 and the Mahalanobis-Minimum Covariance Determinant (MMCD) for multivariate outliers; Leys, C., Klein, O., Dominicy, Y. & Ley, C. (2018) doi:10.1016/j.jesp.2017.09.011. There is also the more known but less robust Mahalanobis distance method, only for comparison purposes.
Install
Health
CRAN check results are not tracked yet.
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10 (1 internal)includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- archivedRemoved from CRAN2026-05-08email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.0.0.32019-05-23 · diff ↗
- 0.0.0.22019-05-22 · diff ↗
- 0.0.0.12019-04-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-04-28
- Total releases
- 3 / 7 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 79 KB / 6 files
- Download size
- 113 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("Routliers")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.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.