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>.
Version: 0.1.2 Depends: R (≥ 4.0.0) Imports: dplyr, Rdpack, stats, tibble, tidyr, robustbase, forcats, egg, ggplot2, gridExtra, RColorBrewer, magrittr Suggests: grDevices, cellWise, robustHD, knitr, MASS, rmarkdown Published: 2024-10-17 DOI: 10.32614/CRAN.package.ShapleyOutlier Author: Marcus Mayrhofer [aut, cre], Peter Filzmoser [aut] Maintainer: Marcus Mayrhofer <marcus.mayrhofer at tuwien.ac.at> License: GPL-3 NeedsCompilation: no Citation: ShapleyOutlier citation info CRAN checks: ShapleyOutlier resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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