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 < http://www.keel.es > .
| Version: | 0.7.0.0 |
| 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 red.ujaen.es> |
| License: | LGPL (≥ 3) | file LICENSE |
| URL: | https://github.com/aklxao2/SDR |
| 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: SDR_0.7.0.0.zip, r-release: SDR_0.7.0.0.zip, r-oldrel: SDR_0.7.0.0.zip |
| 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 |