Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.
| Version: | 3.0.2 |
| Depends: | R (≥ 3.1.0), graphics, stats |
| Imports: | MASS, e1071, class, nnet, rpart, FNN, StatMatch, rgl, methods |
| Published: | 2015-11-24 |
| Author: | Edgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez |
| Maintainer: | Edgar Acuna <edgar.acuna at upr.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| CRAN checks: | dprep results |
| Reference manual: | dprep.pdf |
| Package source: | dprep_3.0.2.tar.gz |
| Windows binaries: | r-devel: dprep_3.0.2.zip, r-release: dprep_3.0.2.zip, r-oldrel: dprep_3.0.2.zip |
| OS X Mavericks binaries: | r-release: dprep_3.0.2.tgz, r-oldrel: dprep_3.0.2.tgz |
| Old sources: | dprep archive |
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