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 |

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