Description Usage Arguments Value Author(s) References Examples
Detecting significant different edges between two networks.
1  diffR(Data1,Data2,ALPHA1=0.05,ALPHA2=0.05)

Data1 
a n_1xp data matrix. 
Data2 
a n_2xp data matrix. 
ALPHA1 
The significance level of correlation screening for each dataset. In general, a high significance level of correlation screening will lead to a slightly large separator set S_{ij}, which reduces the risk of missing some important variables in the conditioning set. Including a few false variables in the conditioning set will not hurt much the accuracy of the ψpartial correlation coefficient. 
ALPHA2 
The significance level of ψ screening for integrative estimation of ψ scores. 
A 
pxp adjacency matrix of the combined graph. 
Bochao Jiajbc409@gmail.com and Faming Liang
Liang, F., Song, Q. and Qiu, P. (2015). An Equivalent Measure of Partial Correlation Coefficients for High Dimensional Gaussian Graphical Models. J. Amer. Statist. Assoc., 110, 12481265.
Liang, F. and Zhang, J. (2008) Estimating FDR under general dependence using stochastic approximation. Biometrika, 95(4), 961977.
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