R Observatory: Metrics for ShapleyOutlier version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ShapleyOutlier

0.1.2

Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances

0packages depend

2.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Marcus MayrhoferFirst published 2022-10-213 releasesCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ShapleyOutlier", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-shapleyoutlier

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ShapleyOutlier

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ShapleyOutlier

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.7 min · r-release-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

88%

Documentation · exports

12

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 31%

Downloads

2.7K

CRAN downloads in the past year

Rank #13,616 · ~8/day · ~229/mo

Releases R versions

Daily download trend is not available in this view yet.

20130 days

76490 days

2.7K1 year

Compare downloads with other packages →

Also on117 r2u28 autocran

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (12)

dplyr Rdpackstatstibble tidyr robustbase forcats egg ggplot2 gridExtra RColorBrewer magrittr

LinkingTo (0)

none

Suggests (6)

grDevicescellWise robustHD knitrMASSrmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Marcus Mayrhofer

Author, Maintainer

Authors (2)

Marcus Mayrhofer

Author, Maintainer

Peter Filzmoser

Author

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.2Latest
2024-10-17 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.1
2023-02-20 · diff ↗
0.1.0
2022-10-21
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-10-21
Total releases: 3 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 34 KB / 1 file
Download size: 701 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Anomaly Detection

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ShapleyOutlier")

Format

Mayrhofer, M., & Filzmoser, P. (2024). ShapleyOutlier: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ShapleyOutlier

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ShapleyOutlier version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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