Package: UAHDataScienceO 1.0.0
Andriy Protsak Protsak
UAHDataScienceO: Educational Outlier Detection Algorithms with Step-by-Step Tutorials
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:
UAHDataScienceO_1.0.0.tar.gz
UAHDataScienceO_1.0.0.tar.gz(r-4.5-noble)UAHDataScienceO_1.0.0.tar.gz(r-4.4-noble)
UAHDataScienceO_1.0.0.tgz(r-4.4-emscripten)UAHDataScienceO_1.0.0.tgz(r-4.3-emscripten)
UAHDataScienceO.pdf |UAHDataScienceO.html✨
UAHDataScienceO/json (API)
NEWS
| # Install 'UAHDataScienceO' in R: |
| install.packages('UAHDataScienceO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 hours agofrom:c772fb8944. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 20 2025 |
| R-4.5-linux | OK | Feb 20 2025 |
Exports:boxandwhiskerscompare_multivariate_methodscompare_univariate_methodsDBSCAN_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 |
| Compare Multivariate Outlier Detection Methods | compare_multivariate_methods |
| Compare Univariate Outlier Detection Methods | compare_univariate_methods |
| 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 |
