Package: SDEFSR
Type: Package
Title: Subgroup Discovery with Evolutionary Fuzzy Systems
Version: 0.7.22
Date: 2021-04-24
Authors@R: c(person("Angel M.", "Garcia", email = "agvico@ujaen.es", role = c("aut", "cre")),
    person("Pedro", "Gonzalez", email = "pglez@ujaen.es", role = c("aut", "cph")),
    person("Cristobal J.", "Carmona", email = "ccarmona@ujaen.es", role = c("aut", "cph")),
    person("Francisco", "Charte", email = "francisco@fcharte.com", role = "ctb"),
    person("Maria J.", "del Jesus", email = "mjjesus@ujaen.es", role = c("aut", "cph"))
    )
Maintainer: Angel M. Garcia <agvico@ujaen.es>
Description: Implementation of evolutionary fuzzy systems for the data mining task called
    "subgroup discovery". In particular, the algorithms presented in this package are:
    M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662>
    M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416>
    C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200>
    C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030>
    It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in
    KEEL, ARFF and CSV format and also with data.frame objects. 
URL: https://github.com/SIMIDAT/SDEFSR
Depends: R (>= 3.0.0)
License: LGPL (>= 3)
LazyData: TRUE
Imports: foreign, methods, parallel, stats, utils, ggplot2, shiny (>=
        0.11)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Author: Angel M. Garcia [aut, cre],
  Pedro Gonzalez [aut, cph],
  Cristobal J. Carmona [aut, cph],
  Francisco Charte [ctb],
  Maria J. del Jesus [aut, cph]
Packaged: 2021-04-30 06:28:41 UTC; agvico
Encoding: UTF-8
Repository: CRAN
Date/Publication: 2021-04-30 06:50:14 UTC
Built: R 4.5.2; ; 2025-11-08 03:48:52 UTC; windows
