abn-package | abn Package |

abn | abn Package |

adg | Dataset related to average daily growth performance and abattoir findings in pigs commercial production. |

buildScoreCache | Build a cache of goodness of fit metrics for each node in a DAG, possibly subject to user-defined restrictions |

compareDag | Compare two DAGs |

createAbnDag | Create a legitimate DAGs |

createDag | Create a legitimate DAGs |

discretization | Discretization of a Possibly Continuous Data Frame of Random Variables based on their distribution |

entropyData | Computes an Empirical Estimation of the Entropy from a Table of Counts |

essentialGraph | Construct the essential graph |

ex0.dag.data | Synthetic validation data set for use with abn library examples |

ex1.dag.data | Synthetic validation data set for use with abn library examples |

ex2.dag.data | Synthetic validation data set for use with abn library examples |

ex3.dag.data | Validation data set for use with abn library examples |

ex4.dag.data | Valdiation data set for use with abn library examples |

ex5.dag.data | Valdiation data set for use with abn library examples |

ex6.dag.data | Valdiation data set for use with abn library examples |

ex7.dag.data | Valdiation data set for use with abn library examples |

expit | Expit, Logit, and odds |

FCV | Dataset related to Feline calicivirus infection among cats in Switzerland. |

fitAbn | Fit an additive Bayesian network model |

infoDag | Compute standard information for a DAG. |

link.strength | A function that returns the strengths of the edge connections in a Bayesian Network learned from observational data. |

linkStrength | A function that returns the strengths of the edge connections in a Bayesian Network learned from observational data. |

linkstrength | A function that returns the strengths of the edge connections in a Bayesian Network learned from observational data. |

logit | Expit, Logit, and odds |

mb | Compute the Markov blanket |

miData | Empirical Estimation of the Entropy from a Table of Counts |

mostProbable | Find most probable DAG structure |

odds | Expit, Logit, and odds |

or | Odds Ratio from a Table |

overview | abn Package |

pigs.vienna | Dataset related to diseases present in 'finishing pigs', animals about to enter the human food chain at an abattoir. |

plotAbn | Plot an ABN graphic |

scoreContribution | Compute the score's contribution in a network of each observation. |

search.heuristic | A family of heuristic algorithms that aims at finding high scoring directed acyclic graphs |

searchHeuristic | A family of heuristic algorithms that aims at finding high scoring directed acyclic graphs |

searchHillClimber | Find high scoring directed acyclic graphs using heuristic search. |

simulate.abn | Simulate from an ABN Network |

simulate.dag | Simulate DAGs |

simulateAbn | Simulate from an ABN Network |

simulateabn | Simulate from an ABN Network |

simulateDag | Simulate DAGs |

toGraphviz | Convert a DAG into graphviz format |

tographviz | Convert a DAG into graphviz format |

var33 | simulated dataset from a DAG comprising of 33 variables |