Package: outliertree 1.10.0

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.

Authors:David Cortes [aut, cre]

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Peer review:

Bug tracker:https://github.com/david-cortes/outliertree/issues

On CRAN:

anomaly-detectionoutlier-detection

3 exports 55 stars 3.51 score 2 dependencies 2 dependents 21 scripts 603 downloads

Last updated 12 days agofrom:8049821e1b. Checks:OK: 9. Indexed: yes.

Exports:check.outlierness.boundsextract.training.outliersoutlier.tree

Dependencies:RcerealRcpp