Diagnostic accuracy of classification models Several functions for evaluating the accuracy of classification models. The package provide the following performance measures: "cv", "0.632" and "0.632+" estimation of the misclassification rate, sensitivity, specifity and auc. If an application is computationally intensive, parallel execution can be used to reduce the time taken. Software Depends: R (>= 2.6.0) Suggests: snow, multicore, MASS, rpart, ipred, e1071, randomForest, mboost Sergej Potapov <sergej.potapov@googlemail.com> Sergej Potapov, Werner Adler and Berthold Lausen. GPL-2 2009-06-24 application/tgz http://CRAN.R-project.org/package=Daim