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:
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)
NEWS
| # Install 'ICSOutlier' in R: |
| install.packages('ICSOutlier', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:1c884b07e4. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux | NOTE | Dec 08 2024 |
Exports:comp_norm_testcomp_simu_testcomp.norm.testcomp.simu.testdist_simu_testdist.simu.testics_distancesICS_outlierics.distancesics.outlier
Dependencies:DBIICSlatticeMatrixminqamitoolsmomentsmvtnormnumDerivRcppRcppArmadillosurveysurvival
