gRain: Graphical Independence Networks

Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems.

Version: 1.3-3
Depends: R (≥ 3.6.0), methods, gRbase
Imports: graph, Rgraphviz, igraph, stats4, magrittr, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp (≥ 0.11.1), RcppArmadillo, RcppEigen, gRbase
Suggests: microbenchmark, knitr, testthat (≥ 2.1.0)
Published: 2020-01-22
Author: Søren Højsgaard
Maintainer: Søren Højsgaard <sorenh at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: gRain citation info
Materials: README NEWS ChangeLog
In views: Bayesian, gR
CRAN checks: gRain results


Reference manual: gRain.pdf
Vignettes: grain-intro
Package source: gRain_1.3-3.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: gRain_1.3-3.tgz, r-oldrel: gRain_1.3-0.tgz
Old sources: gRain archive

Reverse dependencies:

Reverse depends: geneNetBP
Reverse imports: bnspatial, gRim
Reverse suggests: bnclassify, bnlearn


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