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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=gRain to link to this page.
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