CRAN/E | ShapleyOutlier

ShapleyOutlier

Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances

Installation

About

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) doi:10.48550/ARXIV.2210.10063.

Citation ShapleyOutlier citation info

Key Metrics

Version 0.1.1
R ≥ 4.0.0
Published 2023-02-20 41 days ago
Needs compilation? no
License GPL-3
CRAN checks ShapleyOutlier results

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Maintainer

Maintainer

Marcus Mayrhofer

marcus.mayrhofer@tuwien.ac.at

Authors

Marcus Mayrhofer

aut / cre

Peter Filzmoser

aut

Material

Reference manual
Package source

Vignettes

ShapleyOutlier examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ShapleyOutlier archive

Depends

R ≥ 4.0.0

Imports

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

Suggests

grDevices
cellWise
robustHD
knitr
MASS
rmarkdown