diagnosticErrors computes various diagnostic errors useful for evaluating the performance of a diagnostic test or a classifier: accuracy (acc), sensitivity (sens), specificity (spec), positive predictive value (ppv), negative predictive value (npv), and log-odds ratio (lor).
confusionMatrix computes the confusion matrix, i.e. it counts the number of false positives (FP), true positives (TP), true negatives (TN), and false negatives (FN).
crossval
(Package: crossval) :
Generic Function for Cross Valdidation
crossval performs K-fold cross validation with B repetitions. If Y is a factor then balanced sampling is used (i.e. in each fold each category is represented in appropriate proportions).
providing 
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