Stratified Evaluation of Subgroup Classification Accuracy

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Documentation for package ‘cases’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

cases	'cases' package
categorize	Categorize continuous values
compare	Compare predictions and labels
complete_results	Complete evaluation results
cormat_ar1	Create an AR(1) correlation matrix
cormat_equi	Create an equicorrelation matrix
data_wdbc	Breast Cancer Wisconsin (Diagnostic) Data Set
define_contrast	Define a contrast (matrix) to specify exact hypothesis system
draw_data	Generate binary data
draw_data_lfc	Generate binary data (LFC model)
draw_data_prb	Sample binary data (single sample)
draw_data_roc	Generate binary data (ROC model)
evaluate	Evaluate the accuracy of multiple (candidate) classifiers in several subgroups
generate_instance_lfc	Generate data sets under least favorable parameter configurations
generate_instance_roc	Generate data sets under realistic parameter configurations
process_instance	Analyze simulated synthetic datasets.
visualize	Visualize evaluation results