Crandore Hub

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

VersionRepositoryFileSize
1.10.0-1 2026-04-09 windows/windows R-4.5 outliertree_1.10.0-1.zip 1.1 MiB

Dependencies (latest)

Imports

LinkingTo

Suggests