Routliers0.0.0.3 package

Robust Outliers Detection

outliers_mad

MAD function to detect outliers

outliers_mahalanobis

mahalanobis function to detect outliers

outliers_mcd

MCD function to detect outliers

plot_outliers_mad

Plotting function for the mad

plot_outliers_mahalanobis

Plotting function for the Mahalanobis distance approach

plot_outliers_mcd

Plotting function for the MCD

Routliers-package

Routliers: Robust Outliers Detection

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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.

  • Maintainer: Marie Delacre
  • License: MIT + file LICENSE
  • Last published: 2019-05-23