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 / eBIC) or crossvalidation.
| Version: | 0.1.2 |
| Imports: | parallel, igraph, qgraph |
| Suggests: | mvtnorm, JGL, psych |
| Published: | 2017-03-20 |
| Author: | Giulio Costantini, Sacha Epskamp |
| Maintainer: | Giulio Costantini <giulio.costantini at unimib.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | EstimateGroupNetwork results |
| Reference manual: | EstimateGroupNetwork.pdf |
| Package source: | EstimateGroupNetwork_0.1.2.tar.gz |
| Windows binaries: | r-devel: EstimateGroupNetwork_0.1.2.zip, r-release: EstimateGroupNetwork_0.1.2.zip, r-oldrel: EstimateGroupNetwork_0.1.2.zip |
| OS X binaries: | r-release: EstimateGroupNetwork_0.1.2.tgz, r-oldrel: EstimateGroupNetwork_0.1.2.tgz |
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