Datasets | Auxiliary functions | Main outlier detection methods | Box and Whiskers (box_and_whiskers()) | DBSCAN (DBSCAN_method()) | KNN (knn()) | LOF simplified (lof()) | Mahalanobis Method (mahalanobis_method()) | Z-score method (z_score_method())
Package: OutliersLearn 1.0.0
OutliersLearn: Educational Outlier Package with Common Outlier Detection Algorithms
Provides implementations of some of the most important outlier detection algorithms. Includes a tutorial mode option that shows a description of each algorithm and provides a step-by-step execution explanation of how it identifies outliers from the given data with the specified input parameters. References include the works of Azzedine Boukerche, Lining Zheng, and Omar Alfandi (2020) <doi:10.1145/3381028>, Abir Smiti (2020) <doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su, Chih-Ling Tsai (2011) <doi:10.1002/widm.19>.
Authors:
OutliersLearn_1.0.0.tar.gz
OutliersLearn_1.0.0.zip(r-4.7-any)OutliersLearn_1.0.0.zip(r-4.6-any)OutliersLearn_1.0.0.zip(r-4.5-any)
OutliersLearn_1.0.0.tgz(r-4.6-any)OutliersLearn_1.0.0.tgz(r-4.5-any)
OutliersLearn_1.0.0.tar.gz(r-4.7-any)OutliersLearn_1.0.0.tar.gz(r-4.6-any)
OutliersLearn_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OutliersLearn/json (API)
| # Install 'OutliersLearn' in R: |
| install.packages('OutliersLearn', repos = c('https://missiegobeats.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/missiegobeats/outlierslearn/issues
Last updated from:f784fb2c91. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 99 | ||
| source / vignettes | OK | 166 | ||
| linux-release | OK | 96 | ||
| macos-release | OK | 146 | ||
| macos-oldrel | OK | 170 | ||
| windows-devel | OK | 66 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 56 | ||
| wasm-release | OK | 80 |
Exports:boxandwhiskersDBSCAN_methodeuclidean_distanceknnlofmahalanobis_distancemahalanobis_methodmanhattan_distmean_outliersLearnquantile_outliersLearnsd_outliersLearntransform_to_vectorz_score_method
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Box And Whiskers | boxandwhiskers |
| DBSCAN_method | DBSCAN_method |
| euclidean_distance | euclidean_distance |
| knn | knn |
| lof | lof |
| mahalanobis_distance | mahalanobis_distance |
| mahalanobis_method | mahalanobis_method |
| manhattan_dist | manhattan_dist |
| mean_outliersLearn | mean_outliersLearn |
| quantile_outliersLearn | quantile_outliersLearn |
| sd_outliersLearn | sd_outliersLearn |
| transform_to_vector | transform_to_vector |
| z_score_method | z_score_method |