Package: RKEEL
Type: Package
Title: Using Keel in R Code
Version: 1.1.21
Depends: R (>= 3.2.0)
Date: 2017-01-31
Authors@R: c(
	person("Jose M.", "Moyano", email = "jmoyano@uco.es", role = c("aut", "cre")),
	person("Luciano", "Sanchez Ramos", email = "luciano@uniovi.es", role = "aut"),
  person("Oliver", "Sanchez Marin", email = "oliversanchez718@gmail.com", role = "ctb")
	)
Author: Jose M. Moyano [aut, cre], Luciano Sanchez Ramos [aut], Oliver Sanchez Marin [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, association rules and preprocess, which allows a more complete experimentation process.
    For more information about KEEL, see <http://www.keel.es/>.
SystemRequirements: Java (>= 8.0)
License: GPL
Imports: R6, XML, doParallel, foreach, gdata, RKEELjars (>= 1.0.14),
        RKEELdata (>= 1.0.2), pmml, arules, Matrix, rJava
NeedsCompilation: no
Packaged: 2017-02-01 08:05:46 UTC; jose
Repository: CRAN
Date/Publication: 2017-02-02 11:44:48
