Modelling Multivariate Data with Additive Bayesian Networks

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Documentation for package ‘abn’ version 2.7-5

• 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