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) <arXiv:2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.

Package details

AuthorDavid Cortes
MaintainerDavid Cortes <david.cortes.rivera@gmail.com>
LicenseGPL (>= 3)
Version1.7.2
URL https://github.com/david-cortes/outliertree
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("outliertree")

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outliertree documentation built on May 18, 2021, 1:06 a.m.