R: Generate Useful ROC Curve Charts for Print and Interactive Use

# Generate Useful ROC Curve Charts for Print and Interactive Use

## Documentation for package ‘plotROC’ version 2.3.3

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

## Help Pages

plotROC-package | Tools for plotting ROC Curves
calculate_multi_roc | Calculate the Empirical ROC curves for multiple biomarkers
calculate_roc | Calculate the Empirical ROC curve
calc_auc | Calculate the Area under the ROC curve
direct_label | Add direct labels to a ROC plot
export_interactive_roc | Generate svg code for an ROC curve object
GeomRoc | Empirical Receiver Operating Characteristic Curve
GeomRocci | Confidence regions for the ROC curve
geom_roc | Empirical Receiver Operating Characteristic Curve
geom_rocci | Confidence regions for the ROC curve
getD3 | Reads included JavaScript functions and returns them as a string for pasting into a webpage
ggroc | Plot an ROC curve
melt_roc | Transform biomarkers stored as wide to long
multi_ggroc | Plot multiple ROC curves
plotROC | Tools for plotting ROC Curves
plot_interactive_roc | Generate a standalone html document displaying an interactive ROC curve
plot_journal_roc | Plot an ROC curve for use in print
roc_key | Key for ROC geom
shiny_plotROC | Start the plotROC Shiny app
StatRoc | Calculate the empirical Receiver Operating Characteristic curve
StatRocci | Calculate confidence regions for the empirical ROC curve
stat_roc | Calculate the empirical Receiver Operating Characteristic curve
stat_rocci | Calculate confidence regions for the empirical ROC curve
style_roc | Add guides and annotations to a ROC plot
verify_d | Check that D is suitable for using as binary disease status