classify                Wrapper to run all classifiers for one run
inTrainingSample        Function to define a learning sample based on
                        balanced sampling
limmaTwoGroups          Wrapper around limma for the comparison of two
                        groups
mcrPlot                 Misclassification Rate Plot
nlcv                    Nested Loop Cross-Validation
nlcvRF_SS               Simulated Datasets to Demonstrate nlcv
                        Functionality
nldaI                   new MLInterfaces schema for lda from MASS
pamrI                   Instance of a learnerSchema for pamr models
pamrML                  Wrapper function around the pamr.* functions
pamrTrain               Function providing a formula interface to
                        pamr.train
print.nlcvConfusionMatrix
                        compute a confusion matrix for the optimal
                        number of features for a given technique used
                        in the nested loop cross validation
rankDistributionPlot    Plot the Distribution of Ranks of Features
                        Across nlcv Runs
rocPlot                 Produce a ROC plot for a classification model
                        belonging to a given technique and with a given
                        number of features.
scoresPlot              Function to Plot a Scores Plot
topTable-methods        Methods for topTable
xtable.confusionMatrix
                        xtable method for confusionMatrix objects
xtable.summary.mcrPlot
                        xtable method for summary.mcrPlot objects
