R: A User-Guided Bayesian Framework for Ensemble Feature Selection

# A User-Guided Bayesian Framework for Ensemble Feature Selection

## Documentation for package ‘UBayFS’ version 1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

admissibility | Admissibility for constraint group
bcw | Breast Cancer Wisconsin dataset
build.UBayconstraint | Build a customized constraint for UBayFS
build.UBaymodel | Build an ensemble for UBayFS
buildConstraints | Build a constraint system
buildDecorrConstraints | Build decorrelation constraints
build_train_set | Perform stratified data partition.
evaluateFS | Evaluate a feature set
evaluateMultiple | Evaluate a feature set
group_admissibility | Admissibility for constraint group
is.UBayconstraint | Checks whether a list object implements proper UBayFS user constraints
is.UBaymodel | Check whether an object is a UBaymodel
plot.UBaymodel | Print a UBayFS model
posteriorExpectation | Posterior expectation of features
print.UBayconstraint | Prints the 'UBayconstraint' object
print.UBaymodel | Print a UBayFS model
printResults | Print a UBayFS model
runInteractive | Run an interactive Shiny app for demonstration
sampleInitial | Initial feature set sampling using probabilistic Greedy algorithm
setConstraints | Set constraints in UBaymodel object
setOptim | Set optimization parameters in a UBaymodel object
setWeights | Set weights in UBaymodel object
summary.UBayconstraint | Prints the 'UBayconstraint' object
summary.UBaymodel | Print a UBayFS model
train | UBayFS feature selection