Probability propagation in Bayesian networks, also known as graphical independence networks. 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: |
1.4.2 |
Depends: |
R (≥ 4.2.0), methods, gRbase (≥ 2.0.2) |
Imports: |
igraph, stats4, broom, Rcpp (≥ 0.11.1) |
LinkingTo: |
Rcpp (≥ 0.11.1), RcppArmadillo, RcppEigen, gRbase |
Suggests: |
bnlearn, gRim, knitr, markdown, microbenchmark, testthat (≥
2.1.0) |
Published: |
2024-09-22 |
DOI: |
10.32614/CRAN.package.gRain |
Author: |
Søren Højsgaard [aut, cre] |
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 |