R: Internal Validation of Clinical Prediction Models

# Internal Validation of Clinical Prediction Models

## Documentation for package ‘pminternal’ version 0.1.0

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

## Help Pages

boot_optimism | Calculate optimism and bias-corrected scores via bootstrap resampling
calibration_stability | Plot calibration stability across bootstrap replicates
cal_plot | Plot apparent and bias-corrected calibration curves
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