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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.
Package details |
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Author | Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Aurore Archimbaud [aut] (<https://orcid.org/0000-0002-6511-9091>), Anne Ruiz-Gazen [aut] (<https://orcid.org/0000-0001-8970-8061>) |
Maintainer | Klaus Nordhausen <klausnordhausenR@gmail.com> |
License | GPL (>= 2) |
Version | 0.4-0 |
Package repository | View on CRAN |
Installation |
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