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 |