gRbase: A Package for Graphical Modelling in R

The 'gRbase' package provides graphical modelling features used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements graph algorithms including (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralization, (iii) triangulation, (iv) creation of junction tree. 'gRbase' facilitates array operations, 'gRbase' implements functions for testing for conditional independence. 'gRbase' illustrates how hierarchical log-linear models may be implemented and describes concept of graphical meta data. The facilities of the package are documented in the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>) and in the paper by Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>). Please see 'citation("gRbase")' for citation details.

Version: 2.0.1
Depends: R (≥ 3.6.0), methods
Imports: stats4, igraph, magrittr, Matrix, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp (≥ 0.11.1), RcppEigen, RcppArmadillo
Suggests: testthat (≥ 2.1.0), microbenchmark, knitr
Published: 2023-11-29
Author: Søren Højsgaard
Maintainer: Søren Højsgaard <sorenh at math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://people.math.aau.dk/~sorenh/software/gR/
NeedsCompilation: yes
Citation: gRbase citation info
Materials: README NEWS ChangeLog
In views: GraphicalModels
CRAN checks: gRbase results

Documentation:

Reference manual: gRbase.pdf
Vignettes: arrays: Array operations in gRbase
graphs: Graphs in the gRbase package

Downloads:

Package source: gRbase_2.0.1.tar.gz
Windows binaries: r-devel: gRbase_2.0.1.zip, r-release: gRbase_2.0.1.zip, r-oldrel: gRbase_2.0.1.zip
macOS binaries: r-release (arm64): gRbase_2.0.1.tgz, r-oldrel (arm64): gRbase_2.0.1.tgz, r-release (x86_64): gRbase_2.0.1.tgz
Old sources: gRbase archive

Reverse dependencies:

Reverse depends: gRain, gRc, gRim
Reverse imports: BCDAG, bnmonitor, clipper, DNAmixturesLite, fgga, GGRidge, GmicR, gRaven, KinMixLite, OrdCD, rags2ridges, topologyGSA
Reverse linking to: gRain, gRim
Reverse suggests: bnclassify, bnlearn

Linking:

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