Package: ICSOutlier 0.4-0

Klaus Nordhausen

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.

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

ICSOutlier_0.4-0.tar.gz
ICSOutlier_0.4-0.tar.gz(r-4.5-noble)ICSOutlier_0.4-0.tar.gz(r-4.4-noble)
ICSOutlier_0.4-0.tgz(r-4.4-emscripten)ICSOutlier_0.4-0.tgz(r-4.3-emscripten)
ICSOutlier.pdf |ICSOutlier.html✨
ICSOutlier/json (API)
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10 exports 0.61 score 13 dependencies 1 dependents 19 scripts 1.4k downloads

Last updated 9 months agofrom:1c884b07e4. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:comp_norm_testcomp_simu_testcomp.norm.testcomp.simu.testdist_simu_testdist.simu.testics_distancesICS_outlierics.distancesics.outlier

Dependencies:DBIICSlatticeMatrixminqamitoolsmomentsmvtnormnumDerivRcppRcppArmadillosurveysurvival