Man pages for BiDAG
Bayesian Inference for Directed Acyclic Graphs (BiDAG)
| adjacency2dag | Deriving a graph from an adjacancy matrix |
| Asia | Asia dataset |
| Boston | Boston housing data |
| compareDAGs | Comparing two DAGs |
| dag2adjacencymatrix | Deriving an adjacency matrix of a graph |
| dag2skeletonadjacency | Deriving an adjacency matrix of the skeleton of a graph |
| DAGscore | Calculating the BGe/BDe score of a single DAG |
| dag.threshold | Estimating a graph corresponding to a posterior probability... |
| edges.posterior | Estimating posterior probabilities of single edges |
| iterations.check | Performance assessment of iterative MCMC scheme against a... |
| iterativeMCMCsearch | Structure learning with an iterative order MCMC algorithm on... |
| orderMCMC | Structure learning with the order MCMC algorithm |
| partitionMCMC | DAG structure sampling with partition MCMC |
| sample.check | Performance assessment of sampling algorithms against a known... |
| scoreagainstDAG | Calculating the score of a sample against a DAG |
| scoreparameters | Initialising score object |
