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) .


Reference manual

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install.packages("ShapleyOutlier")

0.1.2 by Marcus Mayrhofer, 2 years ago


Browse source code at https://github.com/cran/ShapleyOutlier


Authors: Marcus Mayrhofer [aut, cre] , Peter Filzmoser [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, Rdpack, stats, tibble, tidyr, robustbase, forcats, egg, ggplot2, gridExtra, RColorBrewer, magrittr

Suggests grDevices, cellWise, robustHD, knitr, MASS, rmarkdown


See at CRAN