equSA: Estimate a Single or Multiple Graphical Models 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 Liang, F., Song, Q. and Qiu, P. (2015) <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. Besides, it includes the method for jointly estimating Gaussian Graphical Models of multiple datasets.

Version: 1.0.1
Depends: R (≥ 3.0.2)
Imports: igraph, huge, XMRF, ZIM, mvtnorm
Published: 2017-02-23
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


Reference manual: equSA.pdf
Package source: equSA_1.0.1.tar.gz
Windows binaries: r-devel: equSA_1.0.1.zip, r-release: equSA_1.0.1.zip, r-oldrel: equSA_1.0.0.zip
OS X Mavericks binaries: r-release: not available, r-oldrel: not available
Old sources: equSA archive


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