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 gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	GGMridge results

Documentation:

Reference manual:

GGMridge.pdf

Downloads:

Package source:	GGMridge_1.2.tar.gz
Windows binaries:	r-devel: GGMridge_1.2.zip, r-release: GGMridge_1.2.zip, r-oldrel: GGMridge_1.2.zip
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

Linking:

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