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


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 El Capitan binaries: r-release: Daim_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: Daim_1.1.0.tgz
Old sources: Daim archive

Reverse dependencies:

Reverse suggests: riskRegression


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