Package: RKEEL
Type: Package
Title: Using 'KEEL' in R Code
Version: 1.3.4
Depends: R (>= 3.4.0)
Date: 2023-09-07
Authors@R: c(
	person("Jose M.", "Moyano", email = "jmoyano1@us.es", role = c("aut", "cre")),
	person("Luciano", "Sanchez", email = "luciano@uniovi.es", role = "aut"),
	person("Oliver", "Sanchez", email = "oliversanchez718@gmail.com", role = "ctb"),
	person("Jesus", "Alcala-Fernandez", email = "jalcala@decsai.ugr.es", role = "ctb")
	)
Author: Jose M. Moyano [aut, cre],
  Luciano Sanchez [aut],
  Oliver Sanchez [ctb],
  Jesus Alcala-Fernandez [ctb]
Maintainer: Jose M. Moyano <jmoyano1@us.es>
Description: 'KEEL' is a popular 'Java' software for a large number of different knowledge data discovery tasks.
    This package takes the advantages of 'KEEL' and R, allowing to use 'KEEL' algorithms in simple R code.
    The implemented R code layer between R and 'KEEL' makes easy both using 'KEEL' algorithms in R as implementing new algorithms for 'RKEEL' in a very simple way.
    It includes more than 100 algorithms for classification, regression, preprocess, association rules and imbalance learning, which allows a more complete experimentation process.
    For more information about 'KEEL', see <http://www.keel.es/>.
SystemRequirements: Java (>= 8)
License: GPL
Imports: R6, XML, doParallel, foreach, gdata, RKEELdata (>= 1.0.5),
        pmml, arules, Matrix, rJava, openssl, downloader
NeedsCompilation: no
Packaged: 2023-09-14 06:35:59 UTC; jose
Repository: CRAN
Date/Publication: 2023-09-14 18:50:08 UTC
Built: R 4.5.2; ; 2026-01-13 16:34:59 UTC; windows
