Outlier Detection Using Invariant Coordinate Selection R package ICSOutlier version 0.4-1 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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. Software Depends: R (>= 3.0.0), methods, ICS (>= 1.4-0), moments Imports: graphics, grDevices, mvtnorm, parallel Suggests: ICSClust, REPPlab, testthat (>= 3.0.0) Klaus Nordhausen <klausnordhausenR@gmail.com> Comprehensive R Archive Network (CRAN) Klaus Nordhausen [aut, cre] (ORCID: <https://orcid.org/0000-0002-3758-8501>), Aurore Archimbaud [aut] (ORCID: <https://orcid.org/0000-0002-6511-9091>), Anne Ruiz-Gazen [aut] (ORCID: <https://orcid.org/0000-0001-8970-8061>) GPL (>= 2) 2025-08-28 application/tgz https://CRAN.R-project.org/package=ICSOutlier doi:10.32614/CRAN.package.ICSOutlier