Data Modelling with Additive Bayesian Networks


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Documentation for package ‘abn’ version 0.7

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allnodesabn Fit all possible parent combinations for additive Bayesian network
allnodesbn Fit all possible parent combinations for Bayesian network
arcfreq Summarise many locally optimal networks
findmostprobablebn Find most probable structure
fitabn Fit an additive Bayesian network model to continuous or binary data
fitbn Fit a Bayesian Network to discrete data
getmarginal Estimation of marginal posterior density in an additive Bayesian network model
getposteriorfeaturesbn Find the posterior probability of structural features
hillsearchabn Repeated searches for locally optimal additive Bayesian Networks for continuous and/or binary data
hillsearchbn Repeated searches for locally optimal Bayesian Networks
pigs.1par simulated dataset from a DAG comprising of 13 variables
searchabn Search for a locally optimal additive Bayesian network model for continuous and/or binary data
searchbn Search for a locally optimal Bayesian Network for multinomial data
tographviz Convert a dag into graphviz format
uniquenets Find all unique DAGs
var33 simulated dataset from a DAG comprising of 33 variables