Daim: Diagnostic accuracy of classification models.

Several functions for evaluating the accuracy of classification models. The package provides the following performance measures: repeated k-fold cross-validation, 0.632 and 0.632+ bootstrap estimation of the misclassification rate, sensitivity, specificity and AUC. If an application is computationally intensive, parallel execution can be used to reduce the computational effort.

Package details

AuthorSergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen.
MaintainerSergej Potapov <sergej.potapov@gmail.com>
Package repositoryView on CRAN
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Daim documentation built on May 29, 2017, 9:08 a.m.