Package: Routliers
Title: Robust Outliers Detection
Version: 0.0.0.3
Authors@R: c(
    person(given = "Olivier",
           family = "Klein",
           role = c("aut"),
           email = "Klein.Olivier@ulb.ac.be"),
    person(given = "Marie",
           family = "Delacre",
           role = c("aut", "cre"),
           email = "marie.delacre@ulb.ac.be"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
BugReports: https://github.com/mdelacre/Routliers/issues
Suggests: knitr, rmarkdown, testthat
Imports: MASS, stats, graphics, ggplot2
Repository: https://mdelacre.r-universe.dev
Date/Publication: 2025-12-22 21:32:29 UTC
RemoteUrl: https://github.com/mdelacre/routliers
RemoteRef: HEAD
RemoteSha: ca09ab5f5db33116a9b4891597142b69c68b22d5
NeedsCompilation: no
Packaged: 2026-06-23 07:26:35 UTC; root
Author: Olivier Klein [aut],
  Marie Delacre [aut, cre]
Maintainer: Marie Delacre <marie.delacre@ulb.ac.be>