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 |
| Depends: |
R (≥ 2.15.0), graphics, stats |
| Imports: |
MASS, e1071, class, nnet, rpart, FNN, StatMatch, rgl, methods |
| Published: |
2015-11-19 |
| 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 |