R: Bayesian Networks & Path Analysis

# Bayesian Networks & Path Analysis

## Documentation for package ‘bnpa’ version 0.3.0

- DESCRIPTION file

## Help Pages

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