GGMnonreg: Non-Regularized Gaussian Graphical Models

Estimate non-regularized Gaussian graphical models, Ising models, and mixed graphical models. The current methods consist of multiple regression, a non-parametric bootstrap <doi:10.1080/00273171.2019.1575716>, and Fisher z transformed partial correlations <doi:10.1111/bmsp.12173>. Parameter uncertainty, predictability, and network replicability <doi:10.31234/osf.io/fb4sa> are also implemented.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: Rdpack, bestglm, GGally, network, sna, Matrix, poibin, parallel, doParallel, foreach, corpcor, psych, MASS, stats, methods, ggplot2, GGMncv
Suggests: qgraph
Published: 2021-04-08
Author: Donald Williams [aut, cre]
Maintainer: Donald Williams <drwwilliams at ucdavis.edu>
License: GPL-2
NeedsCompilation: no
Citation: GGMnonreg citation info
Materials: README
CRAN checks: GGMnonreg results

Downloads:

Reference manual: GGMnonreg.pdf
Package source: GGMnonreg_1.0.0.tar.gz
Windows binaries: r-devel: GGMnonreg_1.0.0.zip, r-release: GGMnonreg_1.0.0.zip, r-oldrel: not available
macOS binaries: r-release: GGMnonreg_1.0.0.tgz, r-oldrel: not available

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