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 |
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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