Slope Heuristic for Block-Diagonal Covariance Selection in High Dimensional Gaussian Graphical Models

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Documentation for package ‘shock’ version 1.0

• DESCRIPTION file.

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shock-package	Slope Heuristic for Block-Diagonal Covariance Selection in High Dimensional Gaussian Graphical Models
computeLoglikeFromPartition	Compute the log-likelihood of the model
dataTest	Simulated data to test the R package
networkInferenceGlassoBIC	Network inference using the glasso algorithm
shock	Slope Heuristic for Block-Diagonal Covariance Selection in High Dimensional Gaussian Graphical Models
shockSelect	Shock selection
simulateBlockDiagNetwork	Simulate a modular network
thresholdAbsSPath	Detect partitions of variables into blocks.