outliersHD
Detection of Outliers in High Dimensional Data
Algorithms to detect high-dimensional outliers. The minimum diagonal product of Ro, Zou, Wang and Yin (2015) <doi:10.1093/biomet/asv021>, the algorithm of Wilkinson (2018) <doi:10.1109/TVCG.2017.2744685>, and the distances of distances of Lee and Jeon (2025) <doi:10.48550/arXiv.2511.02199>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | outliersHD_1.0.tar.gz |
20.8 KiB |
1.0 |
rolling linux/noble R-4.5 | outliersHD_1.0.tar.gz |
20.7 KiB |
1.0 |
rolling source/ R- | outliersHD_1.0.tar.gz |
3.6 KiB |
1.0 |
latest linux/jammy R-4.5 | outliersHD_1.0.tar.gz |
20.8 KiB |
1.0 |
latest linux/noble R-4.5 | outliersHD_1.0.tar.gz |
20.7 KiB |
1.0 |
latest source/ R- | outliersHD_1.0.tar.gz |
3.6 KiB |
1.0 |
2026-04-23 source/ R- | outliersHD_1.0.tar.gz |
0 B |