The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.3.1
Imports: parallel, igraph, qgraph, dplyr, ggplot2, stats
Suggests: mvtnorm, JGL, psych
Published: 2021-02-10
DOI: 10.32614/CRAN.package.EstimateGroupNetwork
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
In views: Psychometrics
CRAN checks: EstimateGroupNetwork results

Documentation:

Reference manual: EstimateGroupNetwork.pdf

Downloads:

Package source: EstimateGroupNetwork_0.3.1.tar.gz
Windows binaries: r-devel: EstimateGroupNetwork_0.3.1.zip, r-release: EstimateGroupNetwork_0.3.1.zip, r-oldrel: EstimateGroupNetwork_0.3.1.zip
macOS binaries: r-release (arm64): EstimateGroupNetwork_0.3.1.tgz, r-oldrel (arm64): EstimateGroupNetwork_0.3.1.tgz, r-release (x86_64): EstimateGroupNetwork_0.3.1.tgz, r-oldrel (x86_64): EstimateGroupNetwork_0.3.1.tgz
Old sources: EstimateGroupNetwork archive

Linking:

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

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.
Health stats visible at Monitor.