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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 |
| Reference manual: | EstimateGroupNetwork.pdf |
| 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 |
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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.