Internal Validation of Clinical Prediction Models

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Documentation for package ‘pminternal’ version 0.1.0

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

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