# Modelling Multivariate Data with Additive Bayesian Networks

## Documentation for package ‘abn’ version 2.7-0

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

## Help Pages

abn-package | abn Package
abn | abn Package
abn.Version | abn Version Information
abn.version | abn Version Information
adg | Dataset related to average daily growth performance and abattoir findings in pigs commercial production.
build.control | Control the iterations in 'buildScoreCache'
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 or EGs
compareDag | Compare two DAGs or EGs
compareEG | Compare two DAGs or EGs
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.
fit.control | Control the iterations in 'fitAbn'
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
version | abn Version Information