gRain: Graphical Independence Networks

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

Version: 1.3-0
Depends: R (≥ 3.0.2), methods, gRbase (≥ 1.7-2)
Imports: igraph, graph, magrittr, functional, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp (≥ 0.11.1), RcppArmadillo, RcppEigen, gRbase (≥ 1.8-0)
Suggests: Rgraphviz, microbenchmark
Published: 2016-10-17
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: ChangeLog
In views: gR
CRAN checks: gRain results

Downloads:

Reference manual: gRain.pdf
Vignettes: Short introduction to the gRain package
Package source: gRain_1.3-0.tar.gz
Windows binaries: r-devel: gRain_1.3-0.zip, r-release: gRain_1.3-0.zip, r-oldrel: gRain_1.3-0.zip
OS X Mavericks binaries: r-release: gRain_1.3-0.tgz, r-oldrel: gRain_1.3-0.tgz
Old sources: gRain archive

Reverse dependencies:

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

Linking:

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