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
NeedsCompilation: no
Packaged: 2024-06-05 08:13:41 UTC; missi
Repository: CRAN
Date/Publication: 2024-06-05 20:00:02 UTC
Built: R 4.3.3; ; 2025-01-24 10:43:07 UTC; unix
