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.
| Version: | 1.8.1-1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.1) |
| LinkingTo: | Rcpp, Rcereal |
| Suggests: | knitr, rmarkdown, kableExtra, data.table |
| Published: | 2022-08-06 |
| Author: | David Cortes |
| Maintainer: | David Cortes <david.cortes.rivera at gmail.com> |
| BugReports: | https://github.com/david-cortes/outliertree/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/david-cortes/outliertree |
| NeedsCompilation: | yes |
| CRAN checks: | outliertree results |
| Reference manual: | outliertree.pdf |
| Vignettes: |
Explainable Outlier Detection in Titanic dataset Introducing OutlierTree |
| Package source: | outliertree_1.8.1-1.tar.gz |
| Windows binaries: | r-devel: outliertree_1.8.1-1.zip, r-release: outliertree_1.8.1-1.zip, r-oldrel: outliertree_1.8.1-1.zip |
| macOS binaries: | r-release (arm64): outliertree_1.8.1-1.tgz, r-oldrel (arm64): outliertree_1.8.1-1.tgz, r-release (x86_64): outliertree_1.8.1-1.tgz, r-oldrel (x86_64): outliertree_1.8.1-1.tgz |
| Old sources: | outliertree archive |
| Reverse imports: | bagged.outliertrees, itsdm |
| Reverse suggests: | isotree |
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