XMRF: Markov Random Fields for High-Throughput Genetics Data

Fit Markov Networks to a wide range of high-throughput genomics data.

Version: 1.0
Depends: R (≥ 3.0.2)
Imports: igraph, glmnet, MASS, snowfall, parallel, Matrix
Published: 2015-06-25
Author: Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Zhandong Liu
Maintainer: Ying-Wooi Wan <yingwoow at bcm.edu>
License: GPL-2
URL: http://www.liuzlab.org/XMRF/
NeedsCompilation: yes
CRAN checks: XMRF results

Downloads:

Reference manual: XMRF.pdf
Package source: XMRF_1.0.tar.gz
Windows binaries: r-devel: XMRF_1.0.zip, r-release: XMRF_1.0.zip, r-oldrel: XMRF_1.0.zip
OS X El Capitan binaries: r-release: XMRF_1.0.tgz
OS X Mavericks binaries: r-oldrel: XMRF_1.0.tgz

Reverse dependencies:

Reverse imports: equSA

Linking:

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