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 330 downloads 8 exports 43 dependencies

Last updated 1 months agofrom:cab0c34f93. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-linuxOKNov 17 2024

Exports:%>%MOEnew_shapleynew_shapley_algorithmnew_shapley_interactionSCDshapleyshapley_interaction

Dependencies:clicolorspacecpp11DEoptimRdplyreggfansifarverforcatsgenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6rbibutilsRColorBrewerRdpackrlangrobustbasescalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

ShapleyOutlier examples

Rendered fromShapleyOutlier_examples.Rmdusingknitr::rmarkdownon Nov 17 2024.

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