Function reference

All functions

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

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