Type: Package
Package: ShapleyOutlier
Title: Multivariate Outlier Explanations using Shapley Values and
        Mahalanobis Distances
Version: 0.1.2
Authors@R: 
   c(
   person(given = "Marcus", family = "Mayrhofer", email = "marcus.mayrhofer@tuwien.ac.at", role = c("aut", "cre")),
   person(given = "Peter", family = "Filzmoser", role = c("aut"))
   )
Depends: R (>= 4.0.0)
Maintainer: Marcus Mayrhofer <marcus.mayrhofer@tuwien.ac.at>
Description: 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>.
License: GPL-3
Imports: dplyr, Rdpack, stats, tibble, tidyr, robustbase, forcats, egg,
        ggplot2, gridExtra, RColorBrewer, magrittr
Suggests: grDevices, cellWise, robustHD, knitr, MASS, rmarkdown
RdMacros: Rdpack
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-22 08:58:51 UTC; root
Author: Marcus Mayrhofer [aut, cre], Peter Filzmoser [aut]
Config/pak/sysreqs: libicu-dev
Repository: https://marcusmayrhofer.r-universe.dev
Date/Publication: 2024-10-17 12:00:34 UTC
RemoteUrl: https://github.com/cran/ShapleyOutlier
RemoteRef: HEAD
RemoteSha: cab0c34f93378c2163662d563a08c67f802f111f