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: | 1.4.5 |
| 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: | 2024-10-17 |
| 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 |