bixplot                 Boxplot version suited for bimodal and
                        multimodal data, combining density, box, and
                        rug elements with automatic cluster detection
classmap                Draw the class map to visualize classification
                        results.
confmat.vcr             Build a confusion matrix from the output of a
                        function 'vcr.*.*'.
data_bookReviews        Amazon book reviews data
data_floralbuds         Floral buds data
data_instagram          Instagram data
data_latenc             Latenc data
data_titanic            Titanic data
makeFV                  Constructs feature vectors from a kernel
                        matrix.
makeKernel              Compute kernel matrix
pamc1d                  Constrained k-medoids clustering for univariate
                        data
predscor                Draws a predictions correlation plot, which
                        visualizes the correlations between the
                        prediction terms in a regression fit.
predsplot               Make a predictions plot
qresplot                Draw a quasi residual plot of PAC versus a data
                        feature
silplot                 Draw the silhouette plot of a classification
stackedplot             Make a vertically stacked mosaic plot of class
                        predictions.
vcr.da.newdata          Carry out discriminant analysis on new data,
                        and prepare to visualize its results.
vcr.da.train            Carry out discriminant analysis on training
                        data, and prepare to visualize its results.
vcr.forest.newdata      Prepare for visualization of a random forest
                        classification on new data.
vcr.forest.train        Prepare for visualization of a random forest
                        classification on training data
vcr.knn.newdata         Carry out a k-nearest neighbor classification
                        on new data, and prepare to visualize its
                        results.
vcr.knn.train           Carry out a k-nearest neighbor classification
                        on training data, and prepare to visualize its
                        results.
vcr.neural.newdata      Prepare for visualization of a neural network
                        classification on new data.
vcr.neural.train        Prepare for visualization of a neural network
                        classification on training data.
vcr.rpart.newdata       Prepare for visualization of an rpart
                        classification on new data.
vcr.rpart.train         Prepare for visualization of an rpart
                        classification on training data.
vcr.svm.newdata         Prepare for visualization of a support vector
                        machine classification on new data.
vcr.svm.train           Prepare for visualization of a support vector
                        machine classification on training data.
