Man pages for pminternal
Internal Validation of Clinical Prediction Models
| boot_optimism | Calculate optimism and bias-corrected scores via bootstrap... |
| cal_defaults | Get default settings for calibration curves |
| calibration_stability | Plot calibration stability across bootstrap replicates |
| cal_plot | Plot apparent and bias-corrected calibration curves |
| classification_stability | Classification instability plot |
| confint.internal_validatesummary | Confidence intervals for bias-corrected performance measures |
| crossval | Calculate bias-corrected scores via cross-validation |
| dcurve_stability | Plot decision curve stability across bootstrap replicates |
| get_stability | Get stability from internal_validate or internal_boot object |
| mape_stability | Mean absolute predictor error (MAPE) stability plot |
| pminternal-package | pminternal: Internal Validation of Clinical Prediction Models |
| 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... |
