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ShapleyOutlier

Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances

Based on Shapley values to explain multivariate outlyingness and to detect and impute cellwise outliers. Includes implementations of methods described in Mayrhofer and Filzmoser (2023) <doi:10.1016/j.ecosta.2023.04.003>.

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VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 ShapleyOutlier_0.1.2.tar.gz 785.9 KiB
0.1.2 rolling linux/noble R-4.5 ShapleyOutlier_0.1.2.tar.gz 785.8 KiB
0.1.2 rolling source/ R- ShapleyOutlier_0.1.2.tar.gz 699.9 KiB
0.1.2 latest linux/jammy R-4.5 ShapleyOutlier_0.1.2.tar.gz 785.9 KiB
0.1.2 latest linux/noble R-4.5 ShapleyOutlier_0.1.2.tar.gz 785.8 KiB
0.1.2 latest source/ R- ShapleyOutlier_0.1.2.tar.gz 699.9 KiB
0.1.2 2026-04-26 source/ R- ShapleyOutlier_0.1.2.tar.gz 699.9 KiB
0.1.2 2026-04-23 source/ R- ShapleyOutlier_0.1.2.tar.gz 699.9 KiB
0.1.2 2026-04-09 windows/windows R-4.5 ShapleyOutlier_0.1.2.zip 786.8 KiB
0.1.2 2025-04-20 source/ R- ShapleyOutlier_0.1.2.tar.gz 699.9 KiB

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