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Daim (version 1.1.0)

Diagnostic accuracy of classification models.

Description

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.

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Version

Install

install.packages('Daim')

Monthly Downloads

22

Version

1.1.0

License

GPL-2

Maintainer

Last Published

September 13th, 2013

Functions in Daim (1.1.0)

Daim.control

Control parameters for the diagnostic accuracy of models.
Daim.data 3

Data set: Artificial data for use with Daim
roc

Compute a ROC curve
plot.roc.Daim

Plotting method for roc.Daim Objects
plot.Daim

Plotting method for Daim Objects
Daim

Diagnostic accuracy of classification models.
deLong.test

DeLong test
Daim Class

Class "Daim"
roc.area

Plot the area under the ROC curve
summary.Daim

Summarizing a Daim Object
auc.Daim

The area under the ROC curve (AUC)
Daim.data 1 & 2

Data sets: Artificial bootstrap data sets for use with Daim.
print.Daim

Print Method for Daim Object
auc

The area under the ROC curve (AUC)
Daim-package

Diagnostic accuracy of classification models
performDaim

Function to evaluate predictions