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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