ggm: Graphical Markov Models with Mixed Graphs

Tools for marginalization, conditioning and fitting by maximum likelihood.

Version: 2.5
Depends: R (≥ 3.6)
Imports: igraph, methods, graph
Published: 2020-02-16
Author: Giovanni M. Marchetti, Mathias Drton, Kayvan Sadeghi
Maintainer: Giovanni M. Marchetti <giovanni.marchetti at unifi.it>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: gR
CRAN checks: ggm results

Downloads:

Reference manual: ggm.pdf
Package source: ggm_2.5.tar.gz
Windows binaries: r-devel: ggm_2.3.zip, r-devel-gcc8: ggm_2.5.zip, r-release: ggm_2.5.zip, r-oldrel: ggm_2.3.zip
OS X binaries: r-release: ggm_2.3.tgz, r-oldrel: ggm_2.3.tgz
Old sources: ggm archive

Reverse dependencies:

Reverse depends: dynamicGraph
Reverse imports: causaleffect, geneNetBP, IMaGES, MoTBFs, nethet, osmplotr, pcalg, pcgen, phylopath, simPATHy, stablespec, TGS

Linking:

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