The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Using principal component analysis as a base model, 'SCOUTer' offers a new approach to simulate outliers in a simple and precise way. The user can generate new observations defining them by a pair of well-known statistics: the Squared Prediction Error (SPE) and the Hotelling's T^2 (T^2) statistics. Just by introducing the target values of the SPE and T^2, 'SCOUTer' returns a new set of observations with the desired target properties. Authors: Alba González, Abel Folch-Fortuny, Francisco Arteaga and Alberto Ferrer (2020).
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0), ggplot2, ggpubr, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-06-30 |
| DOI: | 10.32614/CRAN.package.SCOUTer |
| Author: | Alba Gonzalez Cebrian [aut, cre], Abel Folch-Fortuny [aut], Francisco Arteaga [aut], Alberto Ferrer [aut] |
| Maintainer: | Alba Gonzalez Cebrian <algonceb at upv.es> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SCOUTer results |
| Reference manual: | SCOUTer.pdf |
| Vignettes: |
SCOUTer demo |
| Package source: | SCOUTer_1.0.0.tar.gz |
| Windows binaries: | r-devel: SCOUTer_1.0.0.zip, r-release: SCOUTer_1.0.0.zip, r-oldrel: SCOUTer_1.0.0.zip |
| macOS binaries: | r-release (arm64): SCOUTer_1.0.0.tgz, r-oldrel (arm64): SCOUTer_1.0.0.tgz, r-release (x86_64): SCOUTer_1.0.0.tgz, r-oldrel (x86_64): SCOUTer_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SCOUTer 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.