Package index
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BNLearnScorer() - BNLearnScorer
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CalculateAcceptanceRates() - Calculate acceptance rates
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CalculateEdgeProbabilities() - Calculate pairwise edge probabilities
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CalculateFeatureMean() - Calculate arithmetic mean for a DAG feature
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CollectUniqueObjects() - Collect unique objects
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CoupledPartitionMCMC()experimental - Coupled Partition MCMC
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CreateScorer() - Scorer constructor
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DAGtoCPDAG() - Convert DAG to CPDAG
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DAGtoPartition() - Convert DAG to partition
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DefaultProposal() - Default proposal constructor
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FlattenChains() - Flatten chains
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GetEmptyDAG() - Get an empty DAG given a set of nodes.
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GetIncrementalScoringEdges() - Get incremental edges
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GetLowestPairwiseScoringEdges() - Preprocessing for blacklisting Get the lowest pairwise scoring edges.
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GetMAP() - Get the maximum a posteriori state
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InitCoupledPartition()experimental - Initialise partition state for SampleChains.
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InitPartition() - Initialise states for SampleChains. Initialise partition state for SampleChains.
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MutilateGraph() - Mutilate graph
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PartitionMCMC() - Transition objects. Partition MCMC
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PartitiontoDAG() - Sample DAG from partition
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PlotConcordance() - Concordance plot
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PlotCumulativeMeanTrace() - Plot cumulative mean trace plot.
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PlotScoreTrace() - Plot the score trace
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PostProcessChains() - Index chains for further analysis
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SampleChains() - Sample chains
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SampleEdgeProbabilities() - Sample edge probabilities
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SamplePosteriorPredictiveChains() - Draw from a posterior predictive distribution
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ScoreDAG() - Score DAG.
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ScoreLabelledPartition() - Score labelled partition
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UniformlySampleDAG() - Uniformly sample DAG
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`[`(<cia_chain>) - Index a cia_chain object
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`[`(<cia_chains>) - Index a cia_chains object
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`[`(<cia_post_chain>) - Indexing with respect to iterations.
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`[`(<cia_post_chains>) - Index a cia_post_chains object with respect to iterations.
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`[[`(<cia_chains>) - Index a cia_chains object
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`[[`(<cia_post_chains>) - Index a cia_post_chains object.
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toBNLearn() - Convert to bnlearn object.
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toMatrix() - Convert to adjacency matrix.
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togRain() - Convert to a gRain object.