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.
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 |
Downloads:
Reverse dependencies:
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