EstimateGroupNetwork: Perform the Joint Graphical Lasso and Selects Tuning Parameters (original) (raw)
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 |
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| 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.html , <EstimateGroupNetwork.pdf> |
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Downloads:
| Package source: | EstimateGroupNetwork_0.3.1.tar.gz |
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| 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:
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