boot_optimism           Calculate optimism and bias-corrected scores
                        via bootstrap resampling
cal_plot                Plot apparent and bias-corrected calibration
                        curves
calibration_stability   Plot calibration stability across bootstrap
                        replicates
classification_stability
                        Classification instability plot
confint.internal_validate
                        Confidence intervals for bias-corrected
                        performance measures
crossval                Calculate bias-corrected scores via
                        cross-validation
dcurve_stability        Plot decision curve stability across bootstrap
                        replicates
mape_stability          Mean absolute predictor error (MAPE) stability
                        plot
prediction_stability    Plot prediction stability across bootstrap
                        replicates
print.internal_boot     Print a internal_boot object
print.internal_cv       Print a internal_cv object
print.internal_validate
                        print a internal_validate object
print.internal_validatesummary
                        Print summary of internal_validate object
score_binary            Score predictions for binary events
summary.internal_validate
                        Summarize a internal_validate object
validate                Get bias-corrected performance measures via
                        bootstrapping or cross-validation
