Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Version: | 1.3.12 |
Depends: | R (≥ 3.6.0), methods, gRbase (≥ 1.8.6.6) |
Imports: | graph, Rgraphviz, igraph, stats4, broom, magrittr, Rcpp (≥ 0.11.1) |
LinkingTo: | Rcpp (≥ 0.11.1), RcppArmadillo, RcppEigen, gRbase |
Suggests: | microbenchmark, knitr, testthat (≥ 2.1.0) |
Published: | 2022-11-17 |
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: | gRain citation info |
Materials: | README NEWS ChangeLog |
In views: | Bayesian, GraphicalModels |
CRAN checks: | gRain results |
Reference manual: | gRain.pdf |
Vignettes: |
grain: Introduction |
Package source: | gRain_1.3.12.tar.gz |
Windows binaries: | r-devel: gRain_1.3.12.zip, r-release: gRain_1.3.12.zip, r-oldrel: gRain_1.3.12.zip |
macOS binaries: | r-release (arm64): gRain_1.3.12.tgz, r-oldrel (arm64): gRain_1.3.12.tgz, r-release (x86_64): gRain_1.3.12.tgz, r-oldrel (x86_64): gRain_1.3.12.tgz |
Old sources: | gRain archive |
Reverse depends: | gRaven |
Reverse imports: | bnmonitor, bnspatial, GmicR, gRim, RVS |
Reverse suggests: | bnclassify, bnlearn |
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