# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ShapleyOutlier" in publications use:' type: software license: GPL-3.0-only title: 'ShapleyOutlier: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances' version: 0.1.2 identifiers: - type: doi value: 10.32614/CRAN.package.ShapleyOutlier abstract: 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) . authors: - family-names: Mayrhofer given-names: Marcus email: marcus.mayrhofer@tuwien.ac.at - family-names: Filzmoser given-names: Peter preferred-citation: type: manual title: 'ShapleyOutlier: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances' authors: - family-names: Mayrhofer given-names: Marcus email: marcus.mayrhofer@tuwien.ac.at - family-names: Filzmoser given-names: Peter year: '2022' notes: R package version 0.1.2 url: https://CRAN.R-project.org/package=ShapleyOutlier repository: https://marcusmayrhofer.r-universe.dev commit: cab0c34f93378c2163662d563a08c67f802f111f date-released: '2024-10-17' contact: - family-names: Mayrhofer given-names: Marcus email: marcus.mayrhofer@tuwien.ac.at references: - type: article title: Multivariate outlier explanations using Shapley values and Mahalanobis distances authors: - family-names: Mayrhofer given-names: Marcus - family-names: Filzmoser given-names: Peter journal: Econometrics and Statistics year: '2023' doi: 10.1016/j.ecosta.2023.04.003