outliertree
Explainable Outlier Detection Through Decision Tree Conditioning
Outlier detection method that flags suspicious values within observations, constrasting them against the normal values in a user-readable format, potentially describing conditions within the data that make a given outlier more rare. Full procedure is described in Cortes (2020) <doi:10.48550/arXiv.2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.10.0-1 |
rolling linux/jammy R-4.5 | outliertree_1.10.0-1.tar.gz |
760.3 KiB |
1.10.0-1 |
rolling linux/noble R-4.5 | outliertree_1.10.0-1.tar.gz |
765.7 KiB |
1.10.0-1 |
rolling source/ R- | outliertree_1.10.0-1.tar.gz |
617.9 KiB |
1.10.0-1 |
latest linux/jammy R-4.5 | outliertree_1.10.0-1.tar.gz |
760.3 KiB |
1.10.0-1 |
latest linux/noble R-4.5 | outliertree_1.10.0-1.tar.gz |
765.7 KiB |
1.10.0-1 |
latest source/ R- | outliertree_1.10.0-1.tar.gz |
617.9 KiB |
1.10.0-1 |
2026-04-26 source/ R- | outliertree_1.10.0-1.tar.gz |
617.9 KiB |
1.10.0-1 |
2026-04-23 source/ R- | outliertree_1.10.0-1.tar.gz |
617.9 KiB |
1.10.0-1 |
2026-04-09 windows/windows R-4.5 | outliertree_1.10.0-1.zip |
1.1 MiB |
1.10.0 |
2025-04-20 source/ R- | outliertree_1.10.0.tar.gz |
617.9 KiB |