GGRidge: Graphical Group Ridge

The Graphical Group Ridge 'GGRidge' package package classifies ridge regression predictors in disjoint groups of conditionally correlated variables and derives different penalties (shrinkage parameters) for these groups of predictors. It combines the ridge regression method with the graphical model for high-dimensional data (i.e. the number of predictors exceeds the number of cases) or ill-conditioned data (e.g. in the presence of multicollinearity among predictors). The package reduces the mean square errors and the extent of over-shrinking of predictors as compared to the ridge method.

Version: 0.1.0
Imports: gRbase, CVglasso, MASS, graph
Published: 2021-03-02
Author: Saeed Aldahmani and Taoufik Zoubeidi
Maintainer: Saeed Aldahmani <saldahmani at uaeu.ac.ae>
License: GPL-2
NeedsCompilation: no
CRAN checks: GGRidge results

Downloads:

Reference manual: GGRidge.pdf
Package source: GGRidge_0.1.0.tar.gz
Windows binaries: r-devel: GGRidge_0.1.0.zip, r-release: GGRidge_0.1.0.zip, r-oldrel: GGRidge_0.1.0.zip
macOS binaries: r-release (arm64): GGRidge_0.1.0.tgz, r-release (x86_64): GGRidge_0.1.0.tgz, r-oldrel: GGRidge_0.1.0.tgz

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