Package: UAHDataScienceO
Type: Package
Title: Educational Outlier Detection Algorithms with Step-by-Step
        Tutorials
Version: 1.0.0
Authors@R: 
    c(person(given = "Andres",
             family = "Missiego Manjon",
             role = "aut"),
      person(given = "Juan Jose",
             family = "Cuadrado Gallego",
             role = "aut",
             comment = c(ORCID = "0000-0001-8178-5556")),
      person(given = "Andriy",
             family = "Protsak Protsak",
             role = c("aut", "cre"),
             email = "andriy.protsak@edu.uah.es"),
      person(given = "Universidad de Alcala de Henares",
             role = "cph"))
Maintainer: Andriy Protsak Protsak <andriy.protsak@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: 7.3.2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-02-18 16:21:45 UTC; andriy
Author: Andres Missiego Manjon [aut],
  Juan Jose Cuadrado Gallego [aut]
    (<https://orcid.org/0000-0001-8178-5556>),
  Andriy Protsak Protsak [aut, cre],
  Universidad de Alcala de Henares [cph]
Repository: CRAN
Date/Publication: 2025-02-20 17:20:08 UTC
Built: R 4.6.0; ; 2026-04-25 22:58:49 UTC; unix
