ClassifyResult          Container for Storing Classification Results
DLDAtrainInterface      An Interface for sparsediscrim Package's dlda
                        Function
DMDselection            Selection of Differential Distributions with
                        Differences in Means or Medians and a Deviation
                        Measure
FeatureSetCollection    Container for Storing A Collection of Sets
FeatureSetCollectionOrNULL
                        Union of a FeatureSetCollection and NULL
KolmogorovSmirnovSelection
                        Selection of Differential Distributions with
                        Kolmogorov-Smirnov Distance
KullbackLeiblerSelection
                        Selection of Differential Distributions with
                        Kullback-Leibler Distance
MixModelsListsSet       Container for a List of Lists Containing
                        Mixture Models
NSCpredictInterface     Interface for 'pamr.predict' Function from
                        'pamr' CRAN Package
NSCselectionInterface   Interface for 'pamr.listgenes' Function from
                        'pamr' CRAN Package
NSCtrainInterface       Interface for 'pamr.train' Function from 'pamr'
                        CRAN Package
PredictParams           Parameters for Classifier Prediction
ROCplot                 Plot Receiver Operating Curve Graphs for
                        Classification Results
ResubstituteParams      Parameters for Resubstitution Error Calculation
SVMtrainInterface       An Interface for e1071 Package's Support Vector
                        Machine Classifier.
SelectParams            Parameters for Feature Selection
SelectResult            Container for Storing Feature Selection Results
TrainParams             Parameters for Classifier Training
TransformParams         Parameters for Data Transformation
bartlettSelection       Selection of Differential Variability with
                        Bartlett Statistic
calcPerformance         Add Performance Calculations to a
                        ClassifyResult Object or Calculate for a Pair
                        of Factor Vectors
characterOrDataFrame    Union of a Character and a DataFrame
classifyInterface       An Interface for PoiClaClu Package's Classify
                        Function
differentMeansSelection
                        Selection of Differentially Abundant Features
distribution            Get Frequencies of Feature Selection and Sample
                        Errors
dlda                    Trained dlda Object
edgeRselection          Feature Selection Based on Differential
                        Expression for Count Data
edgesToHubNetworks      Convert a Two-column Matrix or Data Frame into
                        a Hub Node List
elasticNetFeatures      Extract Vectors of Ranked and Selected Features
                        From an Elastic Net GLM Object
elasticNetGLMinterface
                        An Interface for glmnet Package's glmnet
                        Function
featureSetSummary       Transform a Table of Feature Abundances into a
                        Table of Feature Set Abundances.
fisherDiscriminant      Classification Using Fisher's LDA
forestFeatures          Extract Vectors of Ranked and Selected Features
                        From a Random Forest Object
functionOrList          Union of Functions and List of Functions
functionOrNULL          Union of A Function and NULL
getLocationsAndScales   Calculate Location and Scale
integerOrNumeric        Union of a Integer and a Numeric
interactorDifferences   Convert Individual Features into Differences
                        Between Binary Interactors Based on Known
                        Sub-networks
kNNinterface            An Interface for class Package's knn Function
kTSPclassifier          Classification Using k Pairs of Features With
                        Relative Differences Between Classes
leveneSelection         Selection of Differential Variability with
                        Levene Statistic
likelihoodRatioSelection
                        Selection of Differential Distributions with
                        Likelihood Ratio Statistic
limmaSelection          Selection of Differentially Abundant Features
measurements            Asthma RNA Abundance and Patient Classes
mixmodels               Classification based on Differential
                        Distribution utilising Mixtures of Normals
multnet                 Trained multnet Object
naiveBayesKernel        Classification Using A Bayes Classifier with
                        Kernel Density Estimates
networkCorrelationsSelection
                        Selection of Differentially Correlated Hub
                        Sub-networks
pairsDifferencesSelection
                        Selection of Pairs of Features that are
                        Different Between Classes
pamrtrained             Trained pamr Object
performancePlot         Plot Performance Measures for Various
                        Classifications
plotFeatureClasses      Plot Density, Scatterplot, Parallel Plot or Bar
                        Chart for Features By Class
previousSelection       Automated Selection of Previously Selected
                        Features
previousTrained         Automated Usage of Previously Created
                        Classifiers
randomForest            Trained randomForest Object
randomForestInterface   An Interface for randomForest Package's
                        randomForest Function
rankingPlot             Plot Pair-wise Overlap of Ranked Features
runTest                 Perform a Single Classification
runTests                Reproducibly Run Various Kinds of
                        Cross-Validation
samplesMetricMap        Plot a Grid of Sample Error Rates or Accuracies
selectionPlot           Plot Pair-wise Overlap or Selection Size
                        Distribution of Selected Features
subtractFromLocation    Subtract Numeric Feature Measurements from a
                        Location
svm                     Trained svm Object
