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 math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://people.math.aau.dk/~sorenh/software/gR/
NeedsCompilation: yes
Citation: gRain citation info
Materials: README NEWS ChangeLog
In views: Bayesian, gR
CRAN checks: gRain results

Downloads:

Reference manual: gRain.pdf
Vignettes: grain-intro
Package source: gRain_1.3-3.tar.gz
Windows binaries: r-devel: gRain_1.3-3.zip, r-devel-gcc8: gRain_1.3-2.zip, r-release: gRain_1.3-3.zip, r-oldrel: gRain_1.3-0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gRain to link to this page.