Package: ShapleyOutlier 0.1.1

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 (2022) <doi:10.48550/ARXIV.2210.10063>.

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

ShapleyOutlier_0.1.1.tar.gz
ShapleyOutlier_0.1.1.tar.gz(r-4.5-noble)ShapleyOutlier_0.1.1.tar.gz(r-4.4-noble)
ShapleyOutlier_0.1.1.tgz(r-4.4-emscripten)ShapleyOutlier_0.1.1.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:

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

8 exports 0.00 score 43 dependencies 3 scripts 239 downloads

Last updated 2 years agofrom:9628de7d29. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-linuxOKSep 06 2024

Exports:%>%MOEnew_shapleynew_shapley_algorithmnew_shapley_interactionSCDshapleyshapley_interaction

Dependencies:clicolorspacecpp11DEoptimRdplyreggfansifarverforcatsgenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6rbibutilsRColorBrewerRdpackrlangrobustbasescalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

ShapleyOutlier examples

Rendered fromShapleyOutlier_examples.Rmdusingknitr::rmarkdownon Sep 06 2024.

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