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 |