Bayesian Networks & Path Analysis

Documentation for package ‘bnpa’ version 0.3.0

boot.strap.bn	Executes a bootstrap during the learning of a BN structure
check.algorithms	Verifies the BN learning algorithms
check.dichotomic.one.var	Verify if one specific variable of a data set is dichotomic
check.levels.one.variable	Check the levels of a categorical variable
check.na	Verify variables with NA
check.ordered.one.var	Verify if one specific variable of a data set is an ordered factor
check.ordered.to.pa	Verifies if there are ordered factor variables to be declared in the pa model building process
check.outliers	Indentifies and gives an option to remove outliers
check.type.one.var	Verify the type of one variable
check.types	Verify types of variable
check.variables.to.be.ordered	Check if the variables need to be ordered
convert.confusion.matrix	Converts the position of any element of confusion matrix to VP, FP, FN, VN
create.cluster	Create a Parallel Socket Cluster
create.dummies	Creates dummy variables in the data set and remove master variables
dataQualiN	A qualitative data set to test functions
dataQuantC	A quantiative data set to test functions
gera.bn.structure	Learn the Bayesian Network structure from data and build a PA model
gera.pa	Generates a PA model
gera.pa.model	Generates PA input model
mount.wl.bl.list	Mounts a white or black list
outcome.predictor.var	Builds a black list of predictor and/or outcome variable
preprocess.outliers	Extract information of outliers
transf.into.ordinal	Transform categorical variables into ordinal