Provides a general framework to perform statistical inference of each gene pair and global inference of wholescale gene pairs in gene networks using the well known Gaussian graphical model (GGM) in a timeefficient manner. We focus on the highdimensional settings where p (the number of genes) is allowed to be far larger than n (the number of subjects). Four main approaches are supported in this package: (1) the bivariate nodewise scaled Lasso (Ren et al (2015) <doi:10.1214/14AOS1286>) (2) the desparsified nodewise scaled Lasso (Jankova and van de Geer (2017) <doi:10.1007/s1174901605035>) (3) the desparsified graphical Lasso (Jankova and van de Geer (2015) <doi:10.1214/15EJS1031>) (4) the GGM estimation with false discovery rate control (FDR) using scaled Lasso or Lasso (Liu (2013) <doi:10.1214/13AOS1169>). Windows users should install 'Rtools' before the installation of this package.
Package details 


Author  Rong Zhang, Zhao Ren and Wei Chen 
Maintainer  Rong Zhang <[email protected]> 
License  GPL (>= 2) 
Version  1.0.0 
Package repository  View on CRAN 
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