EstimateGroupNetwork: Perform the Joint Graphical Lasso and Selects Tuning Parameters

Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.

Version: 0.2.2
Imports: parallel, igraph, qgraph, dplyr, ggplot2, stats
Suggests: mvtnorm, JGL, psych
Published: 2020-01-08
Author: Giulio Costantini, Nils Kappelmann, Sacha Epskamp
Maintainer: Giulio Costantini <giulio.costantini at unimib.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: EstimateGroupNetwork citation info
Materials: NEWS
CRAN checks: EstimateGroupNetwork results

Downloads:

Reference manual: EstimateGroupNetwork.pdf
Package source: EstimateGroupNetwork_0.2.2.tar.gz
Windows binaries: r-devel: EstimateGroupNetwork_0.2.2.zip, r-devel-gcc8: EstimateGroupNetwork_0.2.2.zip, r-release: EstimateGroupNetwork_0.2.2.zip, r-oldrel: EstimateGroupNetwork_0.2.2.zip
OS X binaries: r-release: EstimateGroupNetwork_0.2.2.tgz, r-oldrel: EstimateGroupNetwork_0.2.2.tgz
Old sources: EstimateGroupNetwork archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EstimateGroupNetwork to link to this page.