Bayesian Network Belief Propagation

Documentation for package ‘BayesNetBP’ version 1.6.1

AbsorbEvidence	Absorb evidence into the model
bn_to_graphNEL	Convert a bn object to graphNEL object
chest	A simulated data from the Chest Clinic example
ClusterTree-class	An S4 class of the cluster tree.
ClusterTreeCompile	Compile the cluster tree
ComputeKLDs	Compute signed and symmetric Kullback-Leibler divergence
ElimTreeInitialize	Initialize the elimination tree
emission	A ClusterTree Example of Emission Model
emission1000	A simulated data from the Emission example
FactorQuery	Queries of discrete variable distributions
GetValue	Possible values of a discrete variable
Initializer	Initialize a ClusterTree object
liver	Mus Musculus HDL QTL data from Leduc et. al. (2012)
LocalModelCompile	Model compilation
Marginals	Obtain marginal distributions
PlotCGBN	Plot the Bayesian network
PlotMarginals	Plot the marginal distributions
PlotTree	Plot the cluster tree
Propagate	Propagate the cluster tree
qtlnet_to_graphNEL	Convert qtlnet to graphNEL object
runBayesNetApp	Launch the BayesNetBP Shiny App
Sampler	Sampling from the Bayesian network
SummaryMarginals	Summary a continuous marginal distribution
toytree	A ClusterTree Example of Liver Model
yeast	Saccharomyces Cerevisiae eQTL data from Kruglak et. al. (2005)