Package: RKEEL
Type: Package
Title: Using KEEL in R Code
Version: 1.3.2
Depends: R (>= 3.4.0)
Date: 2020-03-16
Authors@R: c(
	person("Jose M.", "Moyano", email = "jmoyano@uco.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 <jmoyano@uco.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, RKEELjars (>= 1.0.19),
        RKEELdata (>= 1.0.5), pmml, arules, Matrix, rJava
NeedsCompilation: no
Packaged: 2020-03-19 09:00:23 UTC; jose
Repository: CRAN
Date/Publication: 2020-03-19 09:20:23 UTC
Built: R 4.1.0; ; 2020-08-03 09:10:28 UTC; windows
