# Modelling Multivariate Data with Additive Bayesian Networks

## Documentation for package ‘abn’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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