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gRain (version 1.2-5)
Graphical Independence Networks
Description
Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems.
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Install
install.packages('gRain')
Monthly Downloads
2,013
Version
1.2-5
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
December 30th, 2015
Functions in gRain (1.2-5)
Search all functions
predict.grain
Make predictions from a probabilistic network
gRain-package
Overview - the gRain package for graphical independence networks
cptable
Create conditional probability tables (CPTs)
update.CPTgrain
Update a Bayesian network
compileCPT,compilePOT
Compile conditional probability tables / cliques potentials.
internal-gRain
Internal functions for the gRain package
repeatPattern
Create repeated patterns in Bayesian networks
compile.grain
Compile a graphical independence network (a Bayesian network)
simulate.grain
Simulate from an independence network
querygrain
Set evidence and query a network
extractCPT,extractPOT
Extract conditional probabilities and clique potentials from data
loadHuginNet
Load and save Hugin net files
andtable
Conditional probability tables based on logical dependcies
propagate.grain
Propagate a graphical independence network (a Bayesian network)
setFinding
Set, retrieve, and retract finding in Bayesian network.
grain
Graphical Independence Network