Modelling Multivariate Data with Additive Bayesian Networks


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Documentation for package ‘abn’ version 1.0.2

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buildscorecache Build a cache of goodness of fit metrics for each node in a DAG, possibly subject to user defined restrictions
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
fitabn Fit an additive Bayesian network model
mostprobable Find most probable DAG structure
pigs.vienna Dataset related to diseases present in 'finishing pigs', animals about to enter the human food chain at an abattoir.
search.hillclimber Find high scoring directed acyclic graphs using heuristic search
tographviz Convert a dag into graphviz format
var33 simulated dataset from a DAG comprising of 33 variables