equSA: Estimate Graphical Models from Multiple Types of Datasets and Construct Networks

Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data.

Version: 1.1.2
Depends: R (≥ 3.0.2)
Imports: igraph, huge, XMRF, ZIM, mvtnorm
Published: 2017-06-07
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Maintainer: Bochao Jia <jbc409 at ufl.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: equSA results

Downloads:

Reference manual: equSA.pdf
Package source: equSA_1.1.2.tar.gz
Windows binaries: r-devel: equSA_1.1.2.zip, r-release: equSA_1.1.2.zip, r-oldrel: equSA_1.1.2.zip
OS X El Capitan binaries: r-release: equSA_1.1.2.tgz
OS X Mavericks binaries: r-oldrel: equSA_1.1.2.tgz
Old sources: equSA archive

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