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Provides functions for defining mixed graphs containing three types of edges, directed, undirected and bi-directed, with possibly multiple edges. These graphs are useful because they capture fundamental independence structures in multivariate distributions and in the induced distributions after marginalization and conditioning. The package is especially concerned with Gaussian graphical models for (i) ML estimation for directed acyclic graphs, undirected and bi-directed graphs and ancestral graph models (ii) testing several conditional independencies (iii) checking global identification of DAG Gaussian models with one latent variable (iv) testing Markov equivalences and generating Markov equivalent graphs of specific types.
| Version: | 2.5.1 |
| Depends: | R (≥ 3.6.0), methods |
| Imports: | BiocManager, graph, igraph |
| Published: | 2024-01-25 |
| DOI: | 10.32614/CRAN.package.ggm |
| Author: | Giovanni M. Marchetti [aut, cre], Mathias Drton [aut], Kayvan Sadeghi [aut] |
| Maintainer: | Giovanni M. Marchetti <giovanni.marchetti at unifi.it> |
| License: | GPL-2 |
| URL: | https://github.com/StaThin/ggm |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | GraphicalModels |
| CRAN checks: | ggm results |
| Reference manual: | ggm.pdf |
| Package source: | ggm_2.5.1.tar.gz |
| Windows binaries: | r-devel: ggm_2.5.1.zip, r-release: ggm_2.5.1.zip, r-oldrel: ggm_2.5.1.zip |
| macOS binaries: | r-release (arm64): ggm_2.5.1.tgz, r-oldrel (arm64): ggm_2.5.1.tgz, r-release (x86_64): ggm_2.5.1.tgz, r-oldrel (x86_64): ggm_2.5.1.tgz |
| Old sources: | ggm archive |
| Reverse imports: | MoTBFs, nethet, pcalg, pcgen, phylopath, SEMgraph, stablespec, TGS |
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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.