acceptreject_DAG |
Accept/reject the proposed DAG given the current DAG (internal function) |

bd_decode |
Convert strings into matrices (internal function) |

bd_encode |
Convert matrix into strings (internal function) |

causaleffect |
Compute causal effects between variables |

DW_nodelml |
Compute node-marginal likelihoods of a DAG model (internal function) |

fa |
Find the family of a node in a DAG (internal function) |

get_causaleffect |
Estimate total causal effects from the MCMC output |

get_diagnostics |
MCMC diagnostics |

get_edgeprobs |
Compute posterior probabilities of edge inclusion from the MCMC output |

get_MAPdag |
Compute the maximum a posteriori DAG model from the MCMC output |

get_MPMdag |
Compute the median probability DAG model from the MCMC output |

get_opcard |
Find the direct successors DAGs of an input DAG (internal function) |

learn_DAG |
MCMC scheme for Gaussian DAG posterior inference |

leukemia |
Protein levels for 68 diagnosed AML patients of subtype M2 |

new_bcdag |
Create new bcdag objects |

operation |
Perform local moves given a DAG (internal function) |

pa |
Find the parents of a node in a DAG (internal function) |

propose_DAG |
MCMC proposal distribution (internal function) |

rDAG |
Generate a Directed Acyclic Graph (DAG) randomly |

rDAGWishart |
Random samples from a compatible DAG-Wishart distribution |

rnodeDAGWishart |
Draw one observation from a Normal-Inverse-Gamma distribution (internal function) |

summary.bcdag |
bcdag object summaries |