Package: ICSOutlier Type: Package Title: Outlier Detection Using Invariant Coordinate Selection Version: 0.4-1 Date: 2025-08-28 Authors@R: c(person("Klaus", "Nordhausen", email = "klausnordhausenR@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3758-8501")), person("Aurore", "Archimbaud", email = "aurore.archimbaud@live.fr", role = "aut", comment = c(ORCID = "0000-0002-6511-9091")), person("Anne", "Ruiz-Gazen", email = "anne.ruiz-gazen@tse-fr.eu", role = "aut", comment = c(ORCID = "0000-0001-8970-8061"))) Author: Klaus Nordhausen [aut, cre] (ORCID: ), Aurore Archimbaud [aut] (ORCID: ), Anne Ruiz-Gazen [aut] (ORCID: ) Maintainer: Klaus Nordhausen Depends: R (>= 3.0.0), methods, ICS (>= 1.4-0), moments Imports: graphics, grDevices, mvtnorm, parallel Suggests: ICSClust, REPPlab, testthat (>= 3.0.0) Description: 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. License: GPL (>= 2) NeedsCompilation: no Packaged: 2026-10-04 12:04:57 UTC; root Config/testthat/edition: 3 RoxygenNote: 7.2.3 Encoding: UTF-8 Repository: https://cran.r-universe.dev Date/Publication: 2025-08-28 19:20:02 UTC RemoteUrl: https://github.com/cran/ICSOutlier RemoteRef: HEAD RemoteSha: 33e7873e44c2f69b17ae857283c8c1ffc93f8ffc