Diagnostic accuracy of classification models.

Documentation for package ‘Daim’ version 1.1.0

Daim-package	Diagnostic accuracy of classification models
auc	The area under the ROC curve (AUC)
auc.Daim	The area under the ROC curve (AUC)
auc.numeric	The area under the ROC curve (AUC)
Daim	Diagnostic accuracy of classification models.
Daim-class	Class "Daim"
Daim.control	Control parameters for the diagnostic accuracy of models.
Daim.data1	Data sets: Artificial bootstrap data sets for use with Daim.
Daim.data2	Data sets: Artificial bootstrap data sets for use with Daim.
Daim.data3	Data set: Artificial data for use with Daim
deLong.test	DeLong test
performDaim	Function to evaluate predictions
performDaim.data.frame	Function to evaluate predictions
performDaim.matrix	Function to evaluate predictions
plot.Daim	Plotting method for Daim Objects
plot.Daim.list	Plotting method for roc.Daim Objects
plot.Daim.vector	Plotting method for roc.Daim Objects
print.Daim	Print Method for Daim Object
print.Daim.vector	Print Method for Daim Object
roc	Compute a ROC curve
roc.area	Plot the area under the ROC curve
roc.area.Daim	Plot the area under the ROC curve
roc.area.Daim.list	Plot the area under the ROC curve
roc.area.Daim.vector	Plot the area under the ROC curve
roc.data.frame	Compute a ROC curve
roc.integer	Compute a ROC curve
roc.matrix	Compute a ROC curve
roc.numeric	Compute a ROC curve
summary.Daim	Summarizing a Daim Object
summary.Daim.list	Summarizing a Daim Object
summary.Daim.vector	Summarizing a Daim Object