The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Package source: | ShapleyOutlier_0.1.1.tar.gz |
| Windows binaries: | r-devel: ShapleyOutlier_0.1.1.zip, r-release: ShapleyOutlier_0.1.1.zip, r-oldrel: ShapleyOutlier_0.1.1.zip |
| macOS binaries: | r-release (arm64): ShapleyOutlier_0.1.1.tgz, r-oldrel (arm64): ShapleyOutlier_0.1.1.tgz, r-release (x86_64): ShapleyOutlier_0.1.1.tgz, r-oldrel (x86_64): ShapleyOutlier_0.1.1.tgz |
| Old sources: | ShapleyOutlier archive |
Please use the canonical form https://CRAN.R-project.org/package=ShapleyOutlier to link to this page.
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.
Health stats visible at Monitor.