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 |
| In views: | AnomalyDetection |
| CRAN checks: | ShapleyOutlier results |