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.
| Version: | 1.1.0 |
| Depends: | R (≥ 2.15.1), parallel |
| Imports: | rms |
| Suggests: | MASS, rpart, ipred, e1071, randomForest, mboost, TH.data |
| Published: | 2013-09-13 |
| Author: | Sergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen. |
| Maintainer: | Sergej Potapov <sergej.potapov at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | Daim results |
| Reference manual: | Daim.pdf |
| Package source: | Daim_1.1.0.tar.gz |
| Windows binaries: | r-devel: Daim_1.1.0.zip, r-release: Daim_1.1.0.zip, r-oldrel: Daim_1.1.0.zip |
| OS X Mavericks binaries: | r-release: Daim_1.1.0.tgz, r-oldrel: Daim_1.1.0.tgz |
| Old sources: | Daim archive |
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