Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.4.5) of this package.
Take me there.
gRain (version 1.0-3)
Graphical Independence Networks
Description
A package for probability propagation in graphical independence networks, also known as probabilistic expert systems or Bayesian networks.
Copy Link
Link to current version
Version
Version
1.4.5
1.4.4
1.4.3
1.4.2
1.4.1
1.4.0
1.3.14
1.3.13
1.3.12
1.3.11
1.3.10
1.3.9
1.3-6
1.3-5
1.3-4
1.3-3
1.3-2
1.3-0
1.2-5
1.2-4
1.2-3
1.2-2
1.2-1
1.2-0
1.1-2
1.1-1
1.1-0
1.0-3
1.0-2
1.0-0
0.8.14
0.8.13
0.8.12
0.8.10
0.8.9
0.8.8
0.8.7
0.8.5
0.8.4
0.8.3
0.8.2
0.8.1
0.8.0
0.7.0
0.6.0
0.5.3
0.5.0
0.4.1
0.4.0
0.3.4
0.3.3
0.3.2
0.3.1
0.3.0
0.2.0
0.1.2
0.1.1
0.1.0
Install
install.packages('gRain')
Monthly Downloads
2,013
Version
1.0-3
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
August 28th, 2012
Functions in gRain (1.0-3)
Search all functions
propagate.grain
Propagate a graphical independence network (a Bayesian network)
loadHuginNet
Load and save Hugin net files
cptable
Create conditional probability tables (CPTs)
repeatPattern
Create repeated patterns in Bayesian networks
predict.grain
Make predictions from a probabilistic network
compile.grain
Compile a graphical independence network (a Bayesian network)
querygrain
Query an independence network
internal-gRain
Internal functions for the gRain package
gRain-package
Overview - the gRain package for graphical independence networks
grain
Graphical Independence Network
simulate.grain
Simulate from an independence network
extractCPT,extractPOT
Extract conditional probabilities and clique potentials from data
andtable
Conditional probability tables based on logical dependcies
compileCPT,compilePOT
Compile conditional probability tables / cliques potentials.