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).

Version: 1.2
Depends: mvtnorm, MASS, stats, graphics, methods
Published: 2022-06-07
Author: Min Jin Ha [aut, cre], Shannon T. Holloway [ctb]
Maintainer: Shannon T. Holloway <shannon.t.holloway at>
License: GPL-2
NeedsCompilation: no
CRAN checks: GGMridge results


Reference manual: GGMridge.pdf


Package source: GGMridge_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GGMridge_1.2.tgz, r-oldrel (arm64): GGMridge_1.2.tgz, r-release (x86_64): GGMridge_1.2.tgz, r-oldrel (x86_64): GGMridge_1.2.tgz
Old sources: GGMridge archive

Reverse dependencies:

Reverse imports: iDINGO


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