Package: Routliers
Title: Robust Outliers Detection
Version: 0.0.0.3
Authors@R: c(
    person(given = "Marie",
           family = "Delacre",
           role = c("aut", "cre"),
           email = "marie.delacre@ulb.ac.be"),
    person(given = "Olivier",
           family = "Klein",
           role = c("aut"),
           email = "Klein.Olivier@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
NeedsCompilation: no
Packaged: 2019-05-22 15:31:07 UTC; Administrateur
Author: Marie Delacre [aut, cre],
  Olivier Klein [aut]
Maintainer: Marie Delacre <marie.delacre@ulb.ac.be>
Repository: CRAN
Date/Publication: 2019-05-23 08:30:03 UTC
Built: R 4.6.0; ; 2026-04-26 10:05:44 UTC; unix
