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.

Package details

AuthorKlaus 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>)
MaintainerKlaus Nordhausen <klausnordhausenR@gmail.com>
LicenseGPL (>= 2)
Version0.4-0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ICSOutlier")

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ICSOutlier documentation built on May 29, 2024, 2:08 a.m.