Daim (1.1.0)

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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.

Maintainer: Sergej Potapov
Author(s): Sergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen.

License: GPL-2

Uses: rms, e1071, ipred, mboost, randomForest, rpart, MASS, TH.data
Reverse suggests: riskRegression

Released over 6 years ago.

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