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 |
expit_cpp |
logit and logit functions |
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 |
Expit, Logit and odds |
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 |
odds |
Expit, Logit and odds |
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. |
simulateabn |
Simulate from an ABN network |
simulateDag |
Simulate DAGs |
tographviz |
Convert a dag into graphviz format |
var33 |
simulated dataset from a DAG comprising of 33 variables |