buildscorecache         Build a cache of goodness of fit metrics for
                        each node in a DAG, possibly subject to user
                        defined restrictions
buildscorecache.mle     Build a cache of goodness of fit metrics based
                        on Information Theoretic for each node in a
                        DAG, possibly subject to user defined
                        restrictions
compareDag              Compare two 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          Plot an ABN graphic
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
fitabn                  Fit an additive Bayesian network model
fitabn.mle              Fit an additive Bayesian network model based on
                        maximum likelihood estimation.
infoDag                 Compute standard information for a DAG.
link.strength           A function that returns the strengths of the
                        edge connections in a Bayesian Network learned
                        form observational data.
logit_cpp               logit and logit functions
mb                      Compute the Markov blanket
miData                  Computes an Empirical Estimation of the Entropy
                        from a Table of Counts
mostprobable            Find most probable DAG structure
or                      Odd ratio from a table
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
search.heuristic        A familly of heuristic algorithms that aims at
                        finding high scoring directed acyclic graphs
search.hillclimber      Find high scoring directed acyclic graphs using
                        heuristic search.
simulateDag             Simulate DAGs
simulateabn             Simulate from an ABN network
tographviz              Convert a dag into graphviz format
var33                   simulated dataset from a DAG comprising of 33
                        variables
