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ShapleyOutlier  

Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances
View on CRAN: Click here


Download and install ShapleyOutlier package within the R console
Install from CRAN:
install.packages("ShapleyOutlier")

Install from Github:
library("remotes")
install_github("cran/ShapleyOutlier")

Install by package version:
library("remotes")
install_version("ShapleyOutlier", "0.1.2")



Attach the package and use:
library("ShapleyOutlier")
Maintained by
Marcus Mayrhofer
[Scholar Profile | Author Map]
First Published: 2022-10-21
Latest Update: 2023-02-20
Description:
Based on Shapley values to explain multivariate outlyingness and to detect and impute cellwise outliers. Includes implementations of methods described in Mayrhofer and Filzmoser (2022) .
How to cite:
Marcus Mayrhofer (2022). ShapleyOutlier: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances. R package version 0.1.2, https://cran.r-project.org/web/packages/ShapleyOutlier. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2022-10-21 17:15), 0.1.1 (2023-02-20 11:30)
Other packages that cited ShapleyOutlier R package
View ShapleyOutlier citation profile
Other R packages that ShapleyOutlier depends, imports, suggests or enhances
Complete documentation for ShapleyOutlier
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