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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 OutliersLearn_1.0.0.tar.gz 104.5 KiB
1.0.0 rolling linux/noble R-4.5 OutliersLearn_1.0.0.tar.gz 104.4 KiB
1.0.0 rolling source/ R- OutliersLearn_1.0.0.tar.gz 56.3 KiB
1.0.0 latest linux/jammy R-4.5 OutliersLearn_1.0.0.tar.gz 104.5 KiB
1.0.0 latest linux/noble R-4.5 OutliersLearn_1.0.0.tar.gz 104.4 KiB
1.0.0 latest source/ R- OutliersLearn_1.0.0.tar.gz 56.3 KiB
1.0.0 2026-04-26 source/ R- OutliersLearn_1.0.0.tar.gz 56.3 KiB
1.0.0 2026-04-23 source/ R- OutliersLearn_1.0.0.tar.gz 56.3 KiB
1.0.0 2026-04-09 windows/windows R-4.5 OutliersLearn_1.0.0.zip 107.1 KiB
1.0.0 2025-04-20 source/ R- OutliersLearn_1.0.0.tar.gz 56.3 KiB

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