Bayesian Inference for Directed Acyclic Graphs

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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