R: Random Uniform Forests for Classification, Regression and Unsupervised Learning

# Random Uniform Forests for Classification, Regression and Unsupervised Learning

## Documentation for package ‘randomUniformForest’ version 1.1.6

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

## Help Pages

A B C D E F G H I K L M N O P R S T U V W X

randomUniformForest-package | Random Uniform Forests for Classification, Regression and Unsupervised Learning

## -- A --

A2Rplot | All internal functions
A2Rplot.default | All internal functions
A2Rplot.hclust | All internal functions
as.supervised | Conversion of an unsupervised model into a supervised one
as.true.matrix | All internal functions
asymetricCrossEntropyCPP | All internal functions
asymetricGiniCPP | All internal functions
asymetricInformationGainCPP | All internal functions
autoMPG | Auto MPG Data Set

## -- B --

bCI | Bootstrapped Prediction Intervals for Ensemble Models
bCICore | All internal functions
biasVarCov | Bias-Variance-Covariance Decomposition
breastCancer | Breast Cancer Wisconsin (Original) Data Set

## -- C --

carEvaluation | Car Evaluation Data Set
category2Proba | All internal functions
category2Quantile | All internal functions
categoryCombination | All internal functions
CheckSameValuesInAllAttributes | All internal functions
CheckSameValuesInLabels | All internal functions
checkUniqueObsCPP | All internal functions
classifyCPP | All internal functions
classifyMatrixCPP | All internal functions
clusterAnalysis | Cluster (or classes) analysis of importance objects.
clusteringObservations | Cluster observations of a (supervised) randomUniformForest object
combineRUFObjects | All internal functions
combineUnsupervised | Combine Unsupervised Learning objects
concat | All internal functions
concatCore | All internal functions
ConcreteCompressiveStrength | Concrete Compressive Strength Data Set
conditionalCrossEntropyCPP | All internal functions
conditionalGiniCPP | All internal functions
confusion.matrix | All internal functions
copulaLike | All internal functions
count.factor | All internal functions
crossEntropyCPP | All internal functions
cutree.order | All internal functions

## -- D --

dates2numeric | All internal functions
define_train_test_sets | All internal functions
difflog | All internal functions
dummy.recode | All internal functions

## -- E --

entropyInformationGainCPP | All internal functions
estimatePredictionAccuracy | All internal functions
estimaterequiredSampleSize | All internal functions
expectedSquaredBias | All internal functions
extractYFromData | All internal functions

## -- F --

factor2matrix | All internal functions
factor2vector | All internal functions
fillNA2.randomUniformForest | Missing values imputation by randomUniformForest
fillVariablesNames | All internal functions
fillWith | All internal functions
filter.forest | All internal functions
filter.object | All internal functions
filterOutliers | All internal functions
find.first.idx | All internal functions
find.idx | All internal functions
find.root | All internal functions
fScore | All internal functions
fullNDCG | All internal functions
fullNode | All internal functions

## -- G --

gap.stats | All internal functions
generalization.error | All internal functions
generic.cv | Generic k-fold cross-validation
generic.log | All internal functions
generic.smoothing.log | All internal functions
genericCbind | All internal functions
genericNode | All internal functions
genericOutput | All internal functions
getCorr | All internal functions
getOddEven | All internal functions
getTree | Extract a tree from a forest
getTree.randomUniformForest | Extract a tree from a forest
getVotesProbability | All internal functions
getVotesProbability2 | All internal functions
giniCPP | All internal functions
gMean | All internal functions

## -- H --

hClust | All internal functions
HuberDist | All internal functions

## -- I --

Id | All internal functions
importance | Variable Importance for random Uniform Forests
importance.randomUniformForest | Variable Importance for random Uniform Forests
imputeCategoryForTestData | All internal functions
inDummies | All internal functions
init_values | Training and validation samples from data
insert.in.vector | All internal functions
insert.in.vector2 | All internal functions
interClassesVariance | All internal functions
intraClassesVariance | All internal functions
is.wholenumber | All internal functions

## -- K --

kappaStat | All internal functions
kBiggestProximities | All internal functions
keep.index | All internal functions
kMeans | All internal functions

## -- L --

L1AsymetricInformationGainCPP | All internal functions
L1Dist | All internal functions
L1DistCPP | All internal functions
L1InformationGainCPP | All internal functions
L2.logDist | All internal functions
L2AsymetricInformationGainCPP | All internal functions
L2Dist | All internal functions
L2DistCPP | All internal functions
L2InformationGainCPP | All internal functions
lagFunction | All internal functions
leafNode | All internal functions
LInfCPP | All internal functions
localTreeImportance | All internal functions
localVariableImportance | All internal functions

## -- M --

majorityClass | All internal functions
matrix2factor | All internal functions
matrix2factor2 | All internal functions
MDSscale | All internal functions
mergeClusters | Merge two arbitrary, but adjacent, clusters
mergeLists | All internal functions
mergeOutliers | All internal functions
min_or_max | All internal functions
model.stats | Common statistics for a vector (or factor) of predictions and a vector (or factor) of responses
modelingResiduals | All internal functions
modifyClusters | Change number of clusters (and clusters shape) on the fly
modX | All internal functions
monitorOOBError | All internal functions
myAUC | All internal functions

## -- N --

na.impute | All internal functions
na.missing | All internal functions
na.replace | All internal functions
NAfactor2matrix | All internal functions
NAFeatures | All internal functions
NATreatment | All internal functions
ndcg | All internal functions

## -- O --

observationsImportance | All internal functions
onlineClassify | All internal functions
onlineCombineRUF | All internal functions
OOBquantiles | All internal functions
OOBVotesScale | All internal functions
optimizeFalsePositives | All internal functions
options.filter | All internal functions
outputPerturbationSampling | All internal functions
outsideConfIntLevels | All internal functions
overSampling | All internal functions

## -- P --

parallelNA.replace | All internal functions
partialDependenceBetweenPredictors | Partial Dependence between Predictors and effect over Response
partialDependenceOverResponses | Partial Dependence Plots and Models
partialImportance | Partial Importance for random Uniform Forests
permuteCatValues | All internal functions
perspWithcol | All internal functions
plot.importance | Variable Importance for random Uniform Forests
plot.randomUniformForest | Random Uniform Forests for Classification, Regression and Unsupervised Learning
plot.unsupervised | Unsupervised Learning with Random Uniform Forests
plotTree | Plot a Random Uniform Decision Tree
plotTreeCore | All internal functions
plotTreeCore2 | All internal functions
postProcessingVotes | Post-processing for Regression
predict | Predict method for random Uniform Forests objects
predict.randomUniformForest | Predict method for random Uniform Forests objects
predictDecisionTree | All internal functions
predictionvsResponses | All internal functions
print.importance | Variable Importance for random Uniform Forests
print.randomUniformForest | Random Uniform Forests for Classification, Regression and Unsupervised Learning
print.unsupervised | Unsupervised Learning with Random Uniform Forests
proximitiesMatrix | All internal functions
pseudoHuberDist | All internal functions
pseudoNAReplace | All internal functions

## -- R --

randomCombination | All internal functions
randomize | All internal functions
randomUniformForest | Random Uniform Forests for Classification, Regression and Unsupervised Learning
randomUniformForest.default | Random Uniform Forests for Classification, Regression and Unsupervised Learning
randomUniformForest.formula | Random Uniform Forests for Classification, Regression and Unsupervised Learning
randomUniformForestCore | All internal functions
randomUniformForestCore.big | All internal functions
randomUniformForestCore.merge | All internal functions
randomUniformForestCore.predict | All internal functions
randomWhichMax | All internal functions
rankingTrainData | All internal functions
reduce.trees | All internal functions
residualsRandomUniformForest | All internal functions
reSMOTE | REplication of a Synthetic Minority Oversampling TEchnique for highly imbalanced datasets
rewind.trees | All internal functions
rm.coordinates | All internal functions
rm.correlation | All internal functions
rm.InAList | All internal functions
rm.string | All internal functions
rm.tempdir | All internal functions
rm.trees | Remove trees from a random Uniform Forest
rmInAListByNames | All internal functions
rmInf | All internal functions
rmNA | All internal functions
rmNoise | All internal functions
roc.curve | ROC and precision-recall curves for random Uniform Forests
rollApplyFunction | All internal functions
rufImpute | Missing values imputation by randomUniformForest
runifMatrixCPP | All internal functions
rUniformForest.big | Random Uniform Forests for Classification and Regression with large data sets
rUniformForest.combine | Incremental learning for random Uniform Forests
rUniformForest.grow | Add trees to a random Uniform Forest
rUniformForest.merge | All internal functions
rUniformForestPredict | All internal functions

## -- S --

sampleDirichlet | All internal functions
scale2AnyValues | All internal functions
scalingMDS | All internal functions
setManyDatasets | All internal functions
simulationData | Simulation of Gaussian vector
smoothing.log | All internal functions
someErrorType | All internal functions
sortCPP | All internal functions
sortDataframe | All internal functions
sortMatrix | All internal functions
specClust | All internal functions
splitClusters | Split a cluster on the fly
splitVarCore | All internal functions
standardize | All internal functions
standardize_vect | All internal functions
strength_and_correlation | All internal functions
subsampleFile | All internal functions
summary.randomUniformForest | Random Uniform Forests for Classification, Regression and Unsupervised Learning

## -- T --

timer | All internal functions
timeStampCore | All internal functions
twoColumnsImportance | All internal functions

## -- U --

uniformDecisionTree | All internal functions
unsupervised | Unsupervised Learning with Random Uniform Forests
unsupervised.randomUniformForest | Unsupervised Learning with Random Uniform Forests
unsupervised2supervised | All internal functions
update | Update Unsupervised Learning object
update.unsupervised | Update Unsupervised Learning object
updateCombined.unsupervised | All internal functions

## -- V --

variance | All internal functions
vector2factor | All internal functions
vector2matrix | All internal functions

## -- W --

weightedVote | All internal functions
weightedVoteModel | All internal functions
which.is.duplicate | All internal functions
which.is.factor | All internal functions
which.is.na | All internal functions
which.is.nearestCenter | All internal functions
which.is.wholenumber | All internal functions
wineQualityRed | Wine Quality Data Set

## -- X --

XMinMaxCPP | All internal functions