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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4-1 |
rolling linux/jammy R-4.5 | ICSOutlier_0.4-1.tar.gz |
1000.8 KiB |
0.4-1 |
rolling linux/noble R-4.5 | ICSOutlier_0.4-1.tar.gz |
1000.7 KiB |
0.4-1 |
rolling source/ R- | ICSOutlier_0.4-1.tar.gz |
782.9 KiB |
0.4-1 |
latest linux/jammy R-4.5 | ICSOutlier_0.4-1.tar.gz |
1000.8 KiB |
0.4-1 |
latest linux/noble R-4.5 | ICSOutlier_0.4-1.tar.gz |
1000.7 KiB |
0.4-1 |
latest source/ R- | ICSOutlier_0.4-1.tar.gz |
782.9 KiB |
0.4-1 |
2026-04-26 source/ R- | ICSOutlier_0.4-1.tar.gz |
782.9 KiB |
0.4-1 |
2026-04-23 source/ R- | ICSOutlier_0.4-1.tar.gz |
782.9 KiB |
0.4-1 |
2026-04-09 windows/windows R-4.5 | ICSOutlier_0.4-1.zip |
1003.9 KiB |
0.4-0 |
2025-04-20 source/ R- | ICSOutlier_0.4-0.tar.gz |
781.8 KiB |