Routliers-package: Routliers: Robust Outliers Detection

In mdelacre/Routliers: Robust Outliers Detection

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.

Author(s)

Maintainer: Marie Delacre [e-mail]

Authors:

• Olivier Klein [e-mail]

See Also

Useful links:

• Report bugs at https://github.com/mdelacre/Routliers/issues

mdelacre/Routliers documentation built on Oct. 10, 2020, 5:02 a.m.