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-4.5)OutliersLearn_1.0.0.zip(r-4.4)OutliersLearn_1.0.0.zip(r-4.3)
OutliersLearn_1.0.0.tgz(r-4.4-any)OutliersLearn_1.0.0.tgz(r-4.3-any)
OutliersLearn_1.0.0.tar.gz(r-4.5-noble)OutliersLearn_1.0.0.tar.gz(r-4.4-noble)
OutliersLearn_1.0.0.tgz(r-4.4-emscripten)OutliersLearn_1.0.0.tgz(r-4.3-emscripten)
OutliersLearn.pdf |OutliersLearn.html✨
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 6 months agofrom:f784fb2c91. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
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 |
