Bayesian Networks

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, ). See 'citation("gRain")' for details.


Bayesian networks in R

Author: Søren Højsgaard

Online documentation

https://hojsgaard.github.io/gRain/

Development site

https://github.com/hojsgaard/gRain

CRAN page:

https://CRAN.R-project.org/package=gRain

Further info at:

https://people.math.aau.dk/~sorenh/software/gR/

Reference manual

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install.packages("gRain")

1.4.6 by Søren Højsgaard, 7 months ago


https://people.math.aau.dk/~sorenh/software/gR/


Browse source code at https://github.com/cran/gRain


Authors: Søren Højsgaard [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports igraph, stats4, broom, Rcpp

Depends on methods, gRbase

Suggests bnlearn, gRim, knitr, markdown, microbenchmark, Rgraphviz, testthat

Linking to Rcpp, RcppArmadillo, RcppEigen, gRbase


Imported by bnmonitor, cia.

Depended on by gRaven, gRim.

Suggested by bnclassify, bnlearn, ethnobotanyR.


See at CRAN