gRain: Bayesian Networks (original) (raw)
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 |
| 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, , |
| In views: | Bayesian, GraphicalModels |
| CRAN checks: | gRain results |
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