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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.

Versions across snapshots

VersionRepositoryFileSize
0.0.0.3 rolling linux/jammy R-4.5 Routliers_0.0.0.3.tar.gz 118.0 KiB
0.0.0.3 rolling linux/noble R-4.5 Routliers_0.0.0.3.tar.gz 117.6 KiB
0.0.0.3 rolling source/ R- Routliers_0.0.0.3.tar.gz 113.2 KiB
0.0.0.3 latest linux/jammy R-4.5 Routliers_0.0.0.3.tar.gz 118.0 KiB
0.0.0.3 latest linux/noble R-4.5 Routliers_0.0.0.3.tar.gz 117.6 KiB
0.0.0.3 latest source/ R- Routliers_0.0.0.3.tar.gz 113.2 KiB
0.0.0.3 2026-04-26 source/ R- Routliers_0.0.0.3.tar.gz 113.2 KiB
0.0.0.3 2026-04-23 source/ R- Routliers_0.0.0.3.tar.gz 113.2 KiB
0.0.0.3 2026-04-09 windows/windows R-4.5 Routliers_0.0.0.3.zip 121.6 KiB
0.0.0.3 2025-04-20 source/ R- Routliers_0.0.0.3.tar.gz 113.2 KiB

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