R: Bayesian Network Belief Propagation

# Bayesian Network Belief Propagation

## Documentation for package ‘BayesNetBP’ version 1.6.1

- DESCRIPTION file

## Help Pages

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)