dprep: Data Pre-Processing and Visualization Functions for Classification

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


Reference manual: dprep.pdf
Package source: dprep_3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available
Old sources: dprep archive