Provides an equivalent measure of partial correlation coefficients for highdimensional 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, jointly estimating multiple Gaussian Graphical Models, constructing single graphical model for heterogeneous dataset, inferring graphical models from highdimensional missing data and estimating moral graph for Bayesian network.
Package details 


Author  Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu 
Maintainer  Bochao Jia <jbc409@gmail.com> 
License  GPL2 
Version  1.2.1 
Package repository  View on CRAN 
Installation 
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