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.


Reference manual

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install.packages("ICSOutlier")

0.4-1 by Klaus Nordhausen, a year ago


Browse source code at https://github.com/cran/ICSOutlier


Authors: Klaus Nordhausen [aut, cre] (ORCID: , Aurore Archimbaud [aut] (ORCID: , Anne Ruiz-Gazen [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports graphics, grDevices, mvtnorm, parallel

Depends on methods, ICS, moments

Suggests ICSClust, REPPlab, testthat


Depended on by ICSShiny.

Suggested by ICS, performance.


See at CRAN