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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 |
DOI: | 10.32614/CRAN.package.GGMnonreg |
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 |
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: GGMnonreg_1.0.0.zip |
macOS binaries: | r-release (arm64): GGMnonreg_1.0.0.tgz, r-oldrel (arm64): GGMnonreg_1.0.0.tgz, r-release (x86_64): GGMnonreg_1.0.0.tgz, r-oldrel (x86_64): GGMnonreg_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.