Asia                    Asia dataset
Asiamat                 Asiamat
Boston                  Boston housing data
DAGscore                Calculating the BGe/BDe score of a single DAG
DBNdata                 Simulated data set from a 2-step dynamic
                        Bayesian network
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
bidag2coda              Converting a single BiDAG chain to mcmc object
bidag2codalist          Converting multiple BiDAG chains to mcmc.list
compact2full            Deriving an adjecency matrix of a full DBN
compareDAGs             Comparing two graphs
compareDBNs             Comparing two DBNs
connectedSubGraph       Deriving connected subgraph
edgep                   Estimating posterior probabilities of single
                        edges
full2compact            Deriving a compact adjacency matrix of a DBN
getDAG                  Extracting adjacency matrix (DAG) from MCMC
                        object
getMCMCscore            Extracting score from MCMC object
getRuntime              Extracting runtime
getSpace                Extracting scorespace from MCMC object
getSubGraph             Deriving subgraph
getTrace                Extracting trace from MCMC object
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
interactions            interactions dataset
iterativeMCMC           Structure learning with an iterative order MCMC
                        algorithm on an expanded search space
iterativeMCMC class     iterativeMCMC class structure
itercomp                Performance assessment of iterative MCMC scheme
                        against a known Bayesian network
kirc                    kirc dataset
kirp                    kirp dataset
learnBN                 Bayesian network structure learning
m2graph                 Deriving a graph from an adjacancy matrix
mapping                 mapping dataset
modelp                  Estimating a graph corresponding to a posterior
                        probability threshold
orderMCMC               Structure learning with the order MCMC
                        algorithm
orderMCMC class         orderMCMC class structure
partitionMCMC           DAG structure sampling with partition MCMC
partitionMCMC class     partitionMCMC class structure
plot2in1                Highlighting similarities between two graphs
plotDBN                 Plotting a DBN
plotdiffs               Plotting difference between two graphs
plotdiffsDBN            Plotting difference between two DBNs
plotpcor                Comparing posterior probabilitites of single
                        edges
plotpedges              Plotting posterior probabilities of single
                        edges
sampleBN                Bayesian network structure sampling from the
                        posterior distribution
samplecomp              Performance assessment of sampling algorithms
                        against a known Bayesian network
scoreagainstDAG         Calculating the score of a sample against a DAG
scoreagainstDBN         Score against DBN
scoreparameters         Initializing score object
scorespace              Prints 'scorespace' object
scorespace class        scorespace class structure
string2mat              Deriving interactions matrix
