gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian models with colours). Documentation about 'gRc' is provided in the paper by Hojsgaard and Lauritzen (2007, <doi:10.18637/jss.v023.i06>) and the paper by Hojsgaard and Lauritzen (2008, <doi:10.1111/j.1467-9868.2008.00666.x>).

Version: 0.4-3.2
Depends: methods, gRbase
Imports: MASS
Suggests: Rgraphviz, RBGL, microbenchmark, knitr
Published: 2019-04-17
Author: Søren Højsgaard, Steffen L. Lauritzen
Maintainer: Søren Højsgaard <sorenh at math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://people.math.aau.dk/~sorenh/software/gR/
NeedsCompilation: yes
Citation: gRc citation info
Materials: ChangeLog
CRAN checks: gRc results

Downloads:

Reference manual: gRc.pdf
Package source: gRc_0.4-3.2.tar.gz
Windows binaries: r-devel: gRc_0.4-3.2.zip, r-release: gRc_0.4-3.2.zip, r-oldrel: gRc_0.4-3.2.zip
OS X binaries: r-release: gRc_0.4-3.2.tgz, r-oldrel: gRc_0.4-3.2.tgz
Old sources: gRc archive

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