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)
- Version1.10.0
- R version≥ 4.3.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release09/06/2024
Documentation
Team
David Cortes
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports1 package
- Suggests4 packages
- Linking To2 packages
- Reverse Imports2 packages
- Reverse Suggests1 package