| as.supervised | Conversion of an unsupervised model into a supervised one |
| autoMPG | Auto MPG Data Set |
| bCI | Bootstrapped Prediction Intervals for Ensemble Models |
| biasVarCov | Bias-Variance-Covariance Decomposition |
| breastCancer | Breast Cancer Wisconsin (Original) Data Set |
| carEvaluation | Car Evaluation Data Set |
| clusterAnalysis | Cluster (or classes) analysis of importance objects. |
| clusteringObservations | Cluster observations of a (supervised) randomUniformForest... |
| combineUnsupervised | Combine Unsupervised Learning objects |
| ConcreteCompressiveStrength | Concrete Compressive Strength Data Set |
| fillNA2.randomUniformForest | Missing values imputation by randomUniformForest |
| generic.cv | Generic k-fold cross-validation |
| getTree.randomUniformForest | Extract a tree from a forest |
| importance.randomUniformForest | Variable Importance for random Uniform Forests |
| init_values | Training and validation samples from data |
| internalFunctions | All internal functions |
| mergeClusters | Merge two arbitrary, but adjacent, clusters |
| model.stats | Common statistics for a vector (or factor) of predictions and... |
| modifyClusters | Change number of clusters (and clusters shape) on the fly |
| partialDependenceBetweenPredictors | Partial Dependence between Predictors and effect over... |
| partialDependenceOverResponses | Partial Dependence Plots and Models |
| partialImportance | Partial Importance for random Uniform Forests |
| plotTree | Plot a Random Uniform Decision Tree |
| postProcessingVotes | Post-processing for Regression |
| predict.randomUniformForest | Predict method for random Uniform Forests objects |
| randomUniformForest | Random Uniform Forests for Classification, Regression and... |
| randomUniformForest-package | Random Uniform Forests for Classification, Regression and... |
| reSMOTE | REplication of a Synthetic Minority Oversampling TEchnique... |
| rm.trees | Remove trees from a random Uniform Forest |
| roc.curve | ROC and precision-recall curves for random Uniform Forests |
| rUniformForest.big | Random Uniform Forests for Classification and Regression with... |
| rUniformForest.combine | Incremental learning for random Uniform Forests |
| rUniformForest.grow | Add trees to a random Uniform Forest |
| simulationData | Simulation of Gaussian vector |
| splitClusters | Split a cluster on the fly |
| unsupervised.randomUniformForest | Unsupervised Learning with Random Uniform Forests |
| update.unsupervised | Update Unsupervised Learning object |
| wineQualityRed | Wine Quality Data Set |
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