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>.
| Version: |
0.1.1 |
| 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: |
2023-02-20 |
| 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 results |