Package index • cia

All functions

BNLearnScorer(): BNLearnScorer

CalculateAcceptanceRates(): Calculate acceptance rates

CalculateEdgeProbabilities(): Calculate pairwise edge probabilities

CalculateFeatureMean(): Calculate arithmetic mean for a DAG feature

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 scoring edges.

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

UniformlySampleDAG(): Uniformly sample DAG

`[`(<cia_chain>): Index a cia_chain object

`[`(<cia_chains>): Index a cia_chains object

`[`(<cia_post_chain>): Indexing with respect to iterations.

`[`(<cia_post_chains>): Index a cia_post_chains object with respect to iterations.

`[[`(<cia_chains>): Index a cia_chains object

`[[`(<cia_post_chains>): Index a cia_post_chains object.

toBNLearn(): Convert to bnlearn object.

toMatrix(): Convert to adjacency matrix.

togRain(): Convert to a gRain object.