BICCutFast              Find minimizing BIC Cut for Vector
BICCutMclust            Find minimizing BIC Cut for Vector
BuildTree               RerF Tree Generator
ComputeSimilarity       Compute Similarities
FeatureImportance       Compute Feature Importance of a RerF model
GrowUnsupervisedForest
                        Creates Urerf Tree.
OOBPredict              Compute out-of-bag predictions
PackForest              Packs a forest and saves modified forest to
                        disk for use by PackPredict function
PackPredict             Compute class predictions for each observation
                        in X
Predict                 Compute class predictions for each observation
                        in X
PrintTree               RerF Tree Printer
RandMatBinary           Create a Random Matrix: Binary
RandMatContinuous       Create a Random Matrix: Continuous
RandMatCustom           Create a Random Matrix: custom
RandMatFRC              Create a Random Matrix: FRC
RandMatFRCN             Create a Random Matrix: FRCN
RandMatImageControl     Create a Random Matrix: image-control
RandMatImagePatch       Create a Random Matrix: image-patch
RandMatPoisson          Create a Random Matrix: Poisson
RandMatRF               Create a Random Matrix: Random Forest (RF)
RandMatTSpatch          Create a Random Matrix: ts-patch
RerF                    RerF forest Generator
RunFeatureImportance    Compute Feature Importance of a single RerF
                        tree
RunFeatureImportanceBinary
                        Compute Feature Importance of a single RerF
                        tree
RunFeatureImportanceCounts
                        Tabulate the unique feature combinations used
                        in a single RerF tree
RunOOB                  Predict class labels on out-of-bag observations
                        using a single tree.
RunPredict              Predict class labels on a test set using a
                        single tree.
RunPredictLeaf          Calculate similarity using a single tree.
StrCorr                 Compute tree strength and correlation
TwoMeansCut             Find minimizing Two Means Cut for Vector
Urerf                   Unsupervised RerF forest Generator
checkInputMatrix        Determine if given input can be processed by
                        Urerf.
flipWeights             Change the sign of the weights
getFeatures             Extract feature indicies from the sparse
                        projection vector.
getWeights              Extract feature weights from the sparse
                        projection vector.
makeA                   Create rotation matrix used to determine mtry
                        features.
makeAB                  Create rotation matrix used to determine linear
                        combination of mtry features.
mnist                   A subset of the MNIST dataset for handwritten
                        digit classification
uniqueByEquivalenceClass
                        Remove unique projections that are equivalent
                        due to a rotation of 180 degrees.
