CRAN/E | Routliers

Routliers

Robust Outliers Detection

Installation

About

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.

Bug report File report

Key Metrics

Version 0.0.0.3
R ≥ 2.10
Published 2019-05-23 1848 days ago
Needs compilation? no
License MIT
License File
CRAN checks Routliers results

Downloads

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Maintainer

Maintainer

Marie Delacre

Authors

Marie Delacre

aut / cre

Olivier Klein

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Routliers archive

Depends

R ≥ 2.10

Imports

MASS
stats
graphics
ggplot2

Suggests

knitr
rmarkdown
testthat