Generate Useful ROC Curve Charts for Print and Interactive Use

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Documentation for package ‘plotROC’ version 2.3.1

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

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