Man pages for cia
Learn and Apply Directed Acyclic Graphs for Causal Inference
| BNLearnScorer | BNLearnScorer |
| CalculateAcceptanceRates | Calculate acceptance rates |
| CalculateEdgeProbabilities | Calculate pairwise edge probabilities |
| CalculateFeatureMean | Calculate arithmetic mean for a DAG feature |
| cia-package | cia: Learn and Apply Directed Acyclic Graphs for Causal... |
| CollectUniqueObjects | Collect unique objects |
| CreateScorer | Scorer constructor |
| DAGtoCPDAG | Convert DAG to CPDAG |
| DAGtoPartition | Convert DAG to partition |
| DefaultProposal | Default proposal constructor |
| FlattenChains | Flatten chains |
| GetEmptyDAG | Get an empty DAG given a set of nodes. |
| GetIncrementalScoringEdges | Get incremental edges |
| GetLowestPairwiseScoringEdges | Preprocessing for blacklisting Get the lowest pairwise... |
| GetMAP | Get the maximum a posteriori state |
| MutilateGraph | Mutilate graph |
| PartitionMCMC | Transition objects. Partition MCMC |
| PartitiontoDAG | Sample DAG from partition |
| PlotConcordance | Concordance plot |
| PlotCumulativeMeanTrace | Plot cumulative mean trace plot. |
| PlotScoreTrace | Plot the score trace |
| PostProcessChains | Index chains for further analysis |
| SampleChains | Sample chains |
| SampleEdgeProbabilities | Sample edge probabilities |
| SamplePosteriorPredictiveChains | Draw from a posterior predictive distribution |
| ScoreDAG | Score DAG. |
| ScoreLabelledPartition | Score labelled partition |
| sub-.cia_chain | Index a cia_chain object |
| sub-.cia_chains | Index a cia_chains object |
| sub-.cia_post_chain | Indexing with respect to iterations. |
| sub-.cia_post_chains | Index a cia_post_chains object with respect to iterations. |
| sub-sub-.cia_chains | Index a cia_chains object |
| sub-sub-.cia_post_chains | Index a cia_post_chains object. |
| toBNLearn | Convert to bnlearn object. |
| togRain | Convert to a gRain object. |
| toMatrix | Convert to adjacency matrix. |
| UniformlySampleDAG | Uniformly sample DAG |
