iJRF: Integrative Joint Random Forest

Integrative framework for the simultaneous estimation of interactions from different class of data.

Version: 1.1-4
Depends: R (≥ 3.0.0)
Imports: ggplot2, stats
Suggests: MASS
Published: 2017-01-27
Author: Francesca Petralia [aut, cre], Pei Wang [aut], Zhidong Tu [aut], Won-min Song [aut], Adele Cutler [ctb], Leo Breiman [ctb], Andy Liaw [ctb], Matthew Wiener [ctb]
Maintainer: Francesca Petralia <francesca.petralia at mssm.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: yes
CRAN checks: iJRF results

Downloads:

Reference manual: iJRF.pdf
Package source: iJRF_1.1-4.tar.gz
Windows binaries: r-devel: iJRF_1.1-4.zip, r-release: iJRF_1.1-4.zip, r-oldrel: iJRF_1.1-4.zip
OS X El Capitan binaries: r-release: iJRF_1.1-4.tgz
OS X Mavericks binaries: r-oldrel: iJRF_1.1-4.tgz

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