Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation

Documentation for package ‘GGMridge’ version 1.1

EM.mixture	Estimation of the mixture distribution using EM algorithm
getEfronp	Estimation of empirical null distribution.
GGMridge	Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation
ksStat	The Kolmogorov-Smirnov Statistic for p-Values
lambda.cv	Choose the Tuning Parameter of the Ridge Inverse
lambda.pcut.cv	Choose the Tuning Parameter of the Ridge Inverse and Thresholding Level of the Empirical p-Values
lambda.pcut.cv1	Choose the Tuning Parameter of the Ridge Inverse and Thresholding Level of the Empirical p-Values.
lambda.TargetD	Shrinkage Estimation of a Covariance Matrix Toward an Identity Matrix
ne.lambda.cv	Choose the Tuning Parameter of a Ridge Regression Using Cross-Validation
R.separate.ridge	Estimation of Partial Correlation Matrix Using p Separate Ridge Regressions.
scaledMat	Scale a square matrix
simulateData	Generate Simulation Data from a Random Network.
structuredEstimate	Estimation of Partial Correlation Matrix Given Zero Structure.
transFisher	Fisher's Z-Transformation