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.

Package details

AuthorEdgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez
MaintainerEdgar Acuna <edgar.acuna@upr.edu>
LicenseGPL
Version3.0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dprep")

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dprep documentation built on May 29, 2017, 11:01 a.m.