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: 0.4.6
Depends: R (≥ 3.6.0), methods, gRbase (≥ 1.8-5)
Imports: MASS, magrittr, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp (≥ 0.11.1), RcppArmadillo
Suggests: Rgraphviz, RBGL, microbenchmark, knitr
Published: 2023-11-29
Author: Søren Højsgaard, Steffen L. Lauritzen
Maintainer: Søren Højsgaard <sorenh at math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://people.math.aau.dk/~sorenh/software/gR/
NeedsCompilation: yes
Citation: gRc citation info
Materials: NEWS ChangeLog
In views: GraphicalModels
CRAN checks: gRc results

Documentation:

Reference manual: gRc.pdf

Downloads:

Package source: gRc_0.4.6.tar.gz
Windows binaries: r-devel: gRc_0.4.6.zip, r-release: gRc_0.4.6.zip, r-oldrel: gRc_0.4.6.zip
macOS binaries: r-release (arm64): gRc_0.4.6.tgz, r-oldrel (arm64): gRc_0.4.6.tgz, r-release (x86_64): gRc_0.4.6.tgz
Old sources: gRc archive

Linking:

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