Skip to contents
-
PCGII()
- Get the estimated partial correlation graph with information incorporation
-
clevel()
- Get the estimated partial correlation graph without information incorporation
-
inference()
- Conduct simultaneous inference of estimated partial correlations
-
makeBlockDiag()
- Generate block-diagonal matrix of size p by p
-
make_random_precision_mat()
- Generate unstructured/random network skeleton and simulates corresponding precision matrix
-
make_sf_precision_mat()
- Generate scale-free network skeleton and simulates corresponding precision matrix
-
sigs2mat()
- Utility function for PCGII inference results
-
undirected_prior()
- Pre-process the input prior set to ensure the input prior set corresponds to an undirected prior network