Package: Routliers 0.0.0.3

Routliers: Robust Outliers Detection

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.

Authors:Olivier Klein [aut], Marie Delacre [aut, cre]

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Bug tracker:https://github.com/mdelacre/routliers/issues

On CRAN:

6 exports 11 stars 1.87 score 28 dependencies 2 mentions 30 scripts 215 downloads

Last updated 4 years agofrom:e4dac8814e. Checks:OK: 7. Indexed: yes.

Exports:outliers_madoutliers_mahalanobisoutliers_mcdplot_outliers_madplot_outliers_mahalanobisplot_outliers_mcd

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr