Package index • abn

Building a cache of scores

buildScoreCache() buildScoreCache.bayes() forLoopContentBayes() forLoopContent() buildScoreCache.mle(): Build a cache of goodness of fit metrics for each node in a DAG, possibly subject to user-defined restrictions

build.control(): Control the iterations in buildScoreCache

Structure Learning

mostProbable(): Find most probable DAG structure

searchHeuristic(): A family of heuristic algorithms that aims at finding high scoring directed acyclic graphs

searchHillClimber(): Find high scoring directed acyclic graphs using heuristic search.

Parameter Fitting

fitAbn() fitAbn.bayes() fitAbn.mle() regressionLoop(): Fit an additive Bayesian network model

fit.control(): Control the iterations in fitAbn

Simulating Data

simulateAbn(): Simulate data from a fitted additive Bayesian network.

simulateDag(): Simulate a DAG with with arbitrary arcs density

Plotting

plotAbn(): Plot an ABN graphic

toGraphviz(): Convert a DAG into graphviz format

Miscellaneous

linkStrength(): Returns the strengths of the edge connections in a Bayesian Network learned from observational data

mb(): Compute the Markov blanket

compareDag(): Compare two DAGs or EGs

compareEG(): Compare two DAGs or EGs

discretization(): Discretization of a Possibly Continuous Data Frame of Random Variables based on their distribution

essentialGraph(): Construct the essential graph

infoDag(): Compute standard information for a DAG.

expit(): expit of proportions

logit(): Logit of proportions

odds(): Probability to odds

or(): Odds Ratio from a matrix

logLik(<abnFit>): Print logLik of objects of class abnFit

miData(): Empirical Estimation of the Entropy from a Table of Counts

skewness(): Computes skewness of a distribution

scoreContribution(): Compute the score's contribution in a network of each observation.

summary(<abnDag>): Prints summary statistics from an object of class abnDag

summary(<abnFit>): Print summary of objects of class abnFit

summary(<abnMostprobable>): Print summary of objects of class abnMostprobable

AIC(<abnFit>): Print AIC of objects of class abnFit

BIC(<abnFit>): Print BIC of objects of class abnFit