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Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.
Version: | 0.4-0 |
Depends: | R (≥ 3.0.0), methods, ICS (≥ 1.4-0), moments |
Imports: | graphics, grDevices, mvtnorm, parallel |
Suggests: | ICSClust, REPPlab, testthat (≥ 3.0.0) |
Published: | 2023-12-13 |
DOI: | 10.32614/CRAN.package.ICSOutlier |
Author: | Klaus Nordhausen [aut, cre], Aurore Archimbaud [aut], Anne Ruiz-Gazen [aut] |
Maintainer: | Klaus Nordhausen <klausnordhausenR at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | ICSOutlier citation info |
Materials: | NEWS |
CRAN checks: | ICSOutlier results |
Reference manual: | ICSOutlier.pdf |
Package source: | ICSOutlier_0.4-0.tar.gz |
Windows binaries: | r-devel: ICSOutlier_0.4-0.zip, r-release: ICSOutlier_0.4-0.zip, r-oldrel: ICSOutlier_0.4-0.zip |
macOS binaries: | r-release (arm64): ICSOutlier_0.4-0.tgz, r-oldrel (arm64): ICSOutlier_0.4-0.tgz, r-release (x86_64): ICSOutlier_0.4-0.tgz, r-oldrel (x86_64): ICSOutlier_0.4-0.tgz |
Old sources: | ICSOutlier archive |
Reverse depends: | ICSShiny |
Reverse suggests: | ICS, performance |
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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.