R: Stratified Evaluation of Subgroup Classification Accuracy

# Stratified Evaluation of Subgroup Classification Accuracy

## Documentation for package ‘cases’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

cases-package | 'cases' package
cases | 'cases' package
categorize | Categorize continuous values
compare | Compare predictions and labels
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