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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 results |
| Reference manual: | ShapleyOutlier.pdf |
| Vignettes: |
ShapleyOutlier examples (source, R code) |
| Package source: | ShapleyOutlier_0.1.2.tar.gz |
| Windows binaries: | r-devel: ShapleyOutlier_0.1.2.zip, r-release: ShapleyOutlier_0.1.2.zip, r-oldrel: ShapleyOutlier_0.1.2.zip |
| macOS binaries: | r-release (arm64): ShapleyOutlier_0.1.2.tgz, r-oldrel (arm64): ShapleyOutlier_0.1.2.tgz, r-release (x86_64): ShapleyOutlier_0.1.2.tgz, r-oldrel (x86_64): ShapleyOutlier_0.1.2.tgz |
| Old sources: | ShapleyOutlier archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.