CRAN/E | gRain

gRain

Graphical Independence Networks

Installation

About

Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems. 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.

Citation gRain citation info
people.math.aau.dk/~sorenh/software/gR/

Key Metrics

Version 1.4.1
R ≥ 4.2.0
Published 2023-11-21 169 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks gRain results

Downloads

Yesterday 52 0%
Last 7 days 406 -23%
Last 30 days 1.662 +18%
Last 90 days 4.713 -44%
Last 365 days 36.282 -2%

Maintainer

Maintainer

Søren Højsgaard

sorenh@math.aau.dk

Authors

Søren Højsgaard

Material

README
NEWS
ChangeLog
Reference manual
Package source

In Views

Bayesian
GraphicalModels

Vignettes

grain: Introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gRain archive

Depends

R ≥ 4.2.0
methods
gRbase ≥ 2.0.0

Imports

igraph
stats4
broom
magrittr
Rcpp ≥ 0.11.1

Suggests

microbenchmark
knitr
testthat ≥ 2.1.0

LinkingTo

Rcpp ≥ 0.11.1
RcppArmadillo
RcppEigen
gRbase

Reverse Depends

gRaven

Reverse Imports

bnmonitor
GmicR
gRim
RVS

Reverse Suggests

bnlearn