Package: ShapleyOutlier 0.1.2

Marcus Mayrhofer

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>.

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

ShapleyOutlier_0.1.2.tar.gz
ShapleyOutlier_0.1.2.tar.gz(r-4.5-noble)ShapleyOutlier_0.1.2.tar.gz(r-4.4-noble)
ShapleyOutlier_0.1.2.tgz(r-4.4-emscripten)ShapleyOutlier_0.1.2.tgz(r-4.3-emscripten)
ShapleyOutlier.pdf |ShapleyOutlier.html
ShapleyOutlier/json (API)

# Install 'ShapleyOutlier' in R:
install.packages('ShapleyOutlier', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 213 downloads 8 exports 43 dependencies

Last updated 4 months agofrom:cab0c34f93. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 16 2025
R-4.5-linuxOKJan 16 2025

Exports:%>%MOEnew_shapleynew_shapley_algorithmnew_shapley_interactionSCDshapleyshapley_interaction

Dependencies:clicolorspacecpp11DEoptimRdplyreggfansifarverforcatsgenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6rbibutilsRColorBrewerRdpackrlangrobustbasescalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

ShapleyOutlier examples

Rendered fromShapleyOutlier_examples.Rmdusingknitr::rmarkdownon Jan 16 2025.

Last update: 2023-02-20
Started: 2022-10-21