SDEFSR: Subgroup Discovery with Evolutionary Fuzzy Systems in R

Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". It also provide a Shiny App for make the analysis easier. The algorithms works with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects.

Version: 0.7.1.0
Depends: R (≥ 3.0.0)
Imports: grDevices, methods, parallel, stats, utils
Suggests: ggplot2, knitr, shiny (≥ 0.11)
Published: 2016-07-13
Author: Angel M. Garcia [aut, cre], Pedro Gonzalez [aut, cph], Cristobal J. Carmona [aut, cph], Francisco Charte [ctb], Maria J. del Jesus [aut, cph]
Maintainer: Angel M. Garcia <amgv0009 at red.ujaen.es>
License: LGPL (≥ 3) | file LICENSE
URL: https://github.com/aklxao2/SDR
NeedsCompilation: no
Materials: NEWS
CRAN checks: SDEFSR results

Downloads:

Reference manual: SDEFSR.pdf
Vignettes: Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package
Package source: SDEFSR_0.7.1.0.tar.gz
Windows binaries: r-devel: SDEFSR_0.7.1.0.zip, r-release: SDEFSR_0.7.1.0.zip, r-oldrel: SDEFSR_0.7.1.0.zip
OS X El Capitan binaries: r-release: SDEFSR_0.7.1.0.tgz
OS X Mavericks binaries: r-oldrel: SDEFSR_0.7.1.0.tgz

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