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 ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: GGMridge results

Downloads:

Reference manual: GGMridge.pdf
Package source: GGMridge_1.1.tar.gz
Windows binaries: r-devel: GGMridge_1.1.zip, r-release: GGMridge_1.1.zip, r-oldrel: GGMridge_1.1.zip
OS X El Capitan binaries: r-release: GGMridge_1.1.tgz
OS X Mavericks binaries: r-oldrel: GGMridge_1.1.tgz

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