| 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 |