Man pages for bnpa
Bayesian Networks & Path Analysis
| 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... |
| check.ordered.to.pa | Verifies if there are ordered factor variables to be declared... |
| 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... |
| create.cluster | Create a Parallel Socket Cluster |
| create.dummies | Creates dummy variables in the data set and remove master... |
| 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... |
| 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 |
