R: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

# Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

## Documentation for package ‘rocbc’ version 3.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

checkboxcox | Tests whether Box-Cox is appropriate for the given dataset (one-marker version)
checkboxcox2 | Tests whether Box-Cox is appropriate for the given dataset (two-marker version)
comparebcAUC | Performs inference to compare the AUCs of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given nominal level
comparebcJ | Performs inference to compare the Youden Indices of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given nominal level
comparebcSens | Performs inference to compare the sensitivities of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given specificty and a given nominal level
comparebcSpec | Performs inference to compare the specificities of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given sensitivity and a given nominal level
rocboxcox | Comprehensive Box-Cox ROC analysis for a single marker
rocboxcoxCI | Inference around the sensitivity at a given specificity (and vice versa) for a single Box-Cox transformed biomarker
threerocs | Provides visual comparison of three ROC estimation methods (one-marker version)
threerocs2 | Provides visual comparison of three ROC estimation methods (two-marker version)