Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Max Kuhn
Title: Building Predictive Models in R Using the caret Package
Abstract: The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the benefits of parallel processing with several types of models.

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Paper: Building Predictive Models in R Using the caret Package     Download PDF (Downloads: 184790)
Supplements:
caret_3.45.tar.gz: R source package Download (Downloads: 3044; 1MB)
v28i05.R: R example code from the paper Download (Downloads: 3130; 2KB)
erratum-2014-01-14.txt: Erratum Download (Downloads: 1834; 333B)
DOI: 10.18637/jss.v028.i05

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.