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: 3.0.2
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

Downloads:

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 El Capitan binaries: r-release: dprep_3.0.2.tgz
OS X Mavericks binaries: r-oldrel: dprep_3.0.2.tgz
Old sources: dprep archive

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