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ICSOutlier: Outlier Detection Using Invariant Coordinate Selection

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 ORCID iD [aut, cre], Aurore Archimbaud ORCID iD [aut], Anne Ruiz-Gazen ORCID iD [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

Documentation:

Reference manual: ICSOutlier.pdf

Downloads:

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 dependencies:

Reverse depends: ICSShiny
Reverse suggests: ICS, performance

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ICSOutlier 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.
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