Bayesian Inference for Directed Acyclic Graphs

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Documentation for package ‘BiDAG’ version 1.4.1

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Asia Asia dataset
Asiamat Asiamat
Boston Boston housing data
compact2full Deriving an adjecency matrix of a full DBN
compareDAGs Comparing two DAGs
compareDBNs Comparing two DBNs
dag.threshold Estimating a graph corresponding to a posterior probability threshold
DAGscore Calculating the BGe/BDe score of a single DAG
DBNdata A simulated data set from a 2-step dynamic Bayesian network A synthetic dataset containing 100 observations generated from a random dynamic Bayesian network with 12 continuous dynamic nodes and 3 static discrete nodes. The DBN imcludes observations from 5 time slices.
DBNmat An adjacency matrix of a dynamic Bayesian network
DBNscore Calculating the BGe/BDe score of a single DBN
DBNunrolled An unrolled adjacency matrix of a dynamic Bayesian network
edges.posterior Estimating posterior probabilities of single edges
full2compact Deriving a compact adjacency matrix of a DBN
graph2m Deriving an adjacency matrix of a graph
gsim A simulated data set from a Gaussian continuous Bayesian network
gsim100 A simulated data set from a Gaussian continuous Bayesian network
gsimmat An adjacency matrix of a simulated dataset
iterations.check Performance assessment of iterative MCMC scheme against a known Bayesian network
iterativeMCMC Structure learning with an iterative order MCMC algorithm on an expanded search space
m2graph Deriving a graph from an adjacancy matrix
orderMCMC Structure learning with the order MCMC algorithm
partitionMCMC DAG structure sampling with partition MCMC
plotDBN Plotting a DBN
plotdiffs Plotting difference between two graphs
plotdiffs.DBN Plotting difference between two DBNs
plotpcor Comparing posterior probabilitites of single edges based on two samples
plotpedges Plotting posterior probabilities of single edges
sample.check Performance assessment of sampling algorithms against a known Bayesian network
scoreagainstDAG Calculating the score of a sample against a DAG
scoreparameters Initialising score object