combineDist             Integrates weighted distance matrices
cv_survclust            performs cross validation on supervised
                        clustering, 'survClust' for a particular 'k'.
                        'cv_survclust' runs
cv_voting               For a 'survClust' fit, return consolidated
                        labels across rounds of cross validation for a
                        specific 'k'. Note that cv.fit already has
                        consolidated class labels across folds
getDist                 Calculates weighted distance matrix of multiple
                        genomic data types
getStats                Compute fit statistics after cross validation
                        via 'cv_survclust'
plotStats               Plot the output from 'getStats'
simdat                  Simulated dataset with 3-class solution
simsurvdat              Simulated survival dataset with accompanying
                        'simdat'
survClust               perform supervised clustering for a particular
                        'k'
uvm_dat                 TCGA UVM Mutation and Copy Number datasets
uvm_survClust_cv.fit    survClust cv.survclust output of integrated
                        TCGA UVM Mutation and Copy Number datasets.
uvm_survdat             TCGA UVM Clinical file
