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: 1.1
Depends: mvtnorm, MASS, stats, graphics, methods
Published: 2016-02-02
Author: Min Jin Ha [aut, cre], Shannon Holloway [ctb]
Maintainer: Shannon Holloway <sthollow at>
License: GPL-2
NeedsCompilation: no
CRAN checks: GGMridge results


Reference manual: GGMridge.pdf


Package source: GGMridge_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GGMridge_1.1.tgz, r-release (x86_64): GGMridge_1.1.tgz, r-oldrel: GGMridge_1.1.tgz

Reverse dependencies:

Reverse imports: iDINGO


Please use the canonical form to link to this page.