Package: GGMridge 1.4

GGMridge: Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation

Estimation of partial correlation matrix using ridge penalty followed by thresholding and reestimation. Under multivariate Gaussian assumption, the matrix constitutes an Gaussian graphical model (GGM).

Authors:Min Jin Ha [aut, cre], Shannon T. Holloway [ctb]

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13 exports 1.16 score 2 dependencies 2 dependents 1 mentions 13 scripts 423 downloads

Last updated 10 months agofrom:c01a137a5e. Checks:OK: 7. Indexed: yes.

Exports:EM.mixturegetEfronpksStatlambda.cvlambda.pcut.cvlambda.pcut.cv1lambda.TargetDne.lambda.cvR.separate.ridgescaledMatsimulateDatastructuredEstimatetransFisher

Dependencies:MASSmvtnorm