SDR: Subgroup Discovery Algorithms for R

Implementation of some algorithms for the data mining task called "subgroup discovery" without package dependencies. It also provide a Shiny App for make the analysis easier. The algorithms works with data sets provided in KEEL or ARFF format files or data.frame objects. If you want more information about KEEL format, please refer to < > .

Depends: R (≥ 3.0.0)
Imports: methods, parallel, stats, utils
Suggests: knitr, shiny (≥ 0.11)
Published: 2016-01-16
Author: Angel M. Garcia [aut, cre], Pedro Gonzalez [aut, cph], Cristobal J. Carmona [aut, cph], Francisco Charte [ctb]
Maintainer: Angel M. Garcia <amgv0009 at>
License: LGPL (≥ 3) | file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: SDR results


Reference manual: SDR.pdf
Vignettes: Using Subgroup Discovery algorithms in R: The **SDR** package
Package source: SDR_0.7.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: SDR_0.7.0.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: SDR_0.7.0.0.tgz
Old sources: SDR archive