Graphical Independence Networks


[Up] [Top]

Documentation for package ‘gRain’ version 1.2-5

Help Pages

gRain-package Overview - the gRain package for graphical independence networks
absorbEvidence Set evidence and query a network
andtable Conditional probability tables based on logical dependcies
compile.CPTgrain Compile a graphical independence network (a Bayesian network)
compile.grain Compile a graphical independence network (a Bayesian network)
compile.POTgrain Compile a graphical independence network (a Bayesian network)
compileCPT Compile conditional probability tables / cliques potentials.
compilePOT Compile conditional probability tables / cliques potentials.
cptable Create conditional probability tables (CPTs)
extractCPT Extract conditional probabilities and clique potentials from data
extractCPT.data.frame Extract conditional probabilities and clique potentials from data
extractCPT.table Extract conditional probabilities and clique potentials from data
extractPOT Extract conditional probabilities and clique potentials from data
extractPOT.data.frame Extract conditional probabilities and clique potentials from data
extractPOT.table Extract conditional probabilities and clique potentials from data
getEvidence Set evidence and query a network
getFinding Set, retrieve, and retract finding in Bayesian network.
gRain Overview - the gRain package for graphical independence networks
grain Graphical Independence Network
grain.CPTspec Graphical Independence Network
grain.dModel Graphical Independence Network
grain.graphNEL Graphical Independence Network
grain.POTspec Graphical Independence Network
iplot.grain Graphical Independence Network
loadHuginNet Load and save Hugin net files
nodeNames Graphical Independence Network
nodeNames.grain Graphical Independence Network
nodeStates Graphical Independence Network
nodeStates.grain Graphical Independence Network
ortable Conditional probability tables based on logical dependcies
pEvidence Set evidence and query a network
pFinding Set, retrieve, and retract finding in Bayesian network.
plot.grain Graphical Independence Network
predict.grain Make predictions from a probabilistic network
print.evidence_ Set evidence and query a network
propagate.grain Propagate a graphical independence network (a Bayesian network)
propagateLS Propagate a graphical independence network (a Bayesian network)
propagateLS__ Propagate a graphical independence network (a Bayesian network)
propagate__ Propagate a graphical independence network (a Bayesian network)
qgrain Set evidence and query a network
querygrain Set evidence and query a network
querygrain.grain Set evidence and query a network
repeatPattern Create repeated patterns in Bayesian networks
retractEvidence Set evidence and query a network
retractEvidence_internal Set evidence and query a network
retractFinding Set, retrieve, and retract finding in Bayesian network.
saveHuginNet Load and save Hugin net files
setEvidence Set evidence and query a network
setEvidence_ Set evidence and query a network
setEvidence_internal Set evidence and query a network
setFinding Set, retrieve, and retract finding in Bayesian network.
simulate.grain Simulate from an independence network
summary.CPTspec Compile conditional probability tables / cliques potentials.
update.CPTgrain Update a Bayesian network