Package: OutliersLearn
Type: Package
Title: Educational Outlier Package with Common Outlier Detection
        Algorithms
Version: 1.0.0
Author: Andres Missiego Manjon [aut, cre], Juan Jose Cuadrado Gallego
        [aut]
Maintainer: Andres Missiego Manjon <andres.missiego@edu.uah.es>
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.1
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Repository: https://missiegobeats.r-universe.dev
Date/Publication: 2024-06-05 08:12:25 UTC
RemoteUrl: https://github.com/missiegobeats/outlierslearn
RemoteRef: HEAD
RemoteSha: f784fb2c9171d06e8b76fecd542eea582b48b5e7
NeedsCompilation: no
Packaged: 2026-10-13 09:42:48 UTC; root