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: 0.5.0
Depends: R (≥ 4.2.0), methods, gRbase (≥ 2.0.0)
Imports: MASS, igraph, stats4, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp (≥ 0.11.1), RcppArmadillo
Suggests: microbenchmark, knitr
Published: 2024-03-28
DOI: 10.32614/CRAN.package.gRc
Author: Søren Højsgaard, Steffen L. Lauritzen
Maintainer: Søren Højsgaard <sorenh at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: gRc citation info
Materials: NEWS ChangeLog
In views: GraphicalModels
CRAN checks: gRc results


Reference manual: gRc.pdf


Package source: gRc_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gRc_0.5.0.tgz, r-oldrel (arm64): gRc_0.5.0.tgz, r-release (x86_64): gRc_0.5.0.tgz, r-oldrel (x86_64): gRc_0.5.0.tgz
Old sources: gRc archive


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