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 |
DAGscore | Calculating the BGe/BDe score of a single DAG |
dag.threshold | Estimating a graph corresponding to a posterior probability... |
DBNdata | A simulated data set from a 2-step dynamic Bayesian network A... |
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... |
gsim100 | A simulated data set from a Gaussian continuous Bayesian... |
gsimmat | An adjacency matrix of a simulated dataset |
iterations.check | Performance assessment of iterative MCMC scheme against a... |
iterativeMCMC | Structure learning with an iterative order MCMC algorithm on... |
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... |
plotpedges | Plotting posterior probabilities of single edges |
sample.check | Performance assessment of sampling algorithms against a known... |
scoreagainstDAG | Calculating the score of a sample against a DAG |
scoreparameters | Initialising score object |
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