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:
outliertree_1.10.0.tar.gz
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outliertree.pdf |outliertree.html✨
outliertree/json (API)
| # Install 'outliertree' in R: |
| install.packages('outliertree', repos = c('https://david-cortes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/david-cortes/outliertree/issues
- hypothyroid - Data about thyroid hormones for anonymous patients
- titanic - Data about passengers of the RMS Titanic
anomaly-detectionoutlier-detection
Last updated 3 months agofrom:8049821e1b. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win-x86_64 | OK | Nov 04 2024 |
| R-4.5-linux-x86_64 | OK | Nov 04 2024 |
| R-4.4-win-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-aarch64 | OK | Nov 04 2024 |
| R-4.3-win-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-aarch64 | OK | Nov 04 2024 |
Exports:check.outlierness.boundsextract.training.outliersoutlier.tree
Explainable Outlier Detection in Titanic dataset
Rendered fromExplainable_Outlier_Detection_in_Titanic_dataset.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2022-02-17
Started: 2022-02-17
Introducing OutlierTree
Rendered fromIntroducing_OutlierTree.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2021-05-06
Started: 2021-05-06
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Slice or sub-set outliers | [.outlieroutputs |
| Convert outlier outputs to R list | as.list.outlieroutputs |
| Check values that could potentially flag an observation as outlier | check.outlierness.bounds |
| Extract outliers found in training data | extract.training.outliers |
| Data about thyroid hormones for anonymous patients | hypothyroid |
| Outlier Tree | outlier.tree |
| Predict method for Outlier Tree | predict.outliertree |
| Print outliers in human-readable format | print.outlieroutputs |
| Print summary information from Outlier Tree model | print.outliertree |
| Print outliers in human-readable format | summary.outlieroutputs |
| Print summary information from Outlier Tree model | summary.outliertree |
| Data about passengers of the RMS Titanic | titanic |
| Get Variable Names for OutlierTree Model | variable.names.outliertree |
