Man pages for pmcalibration
Calibration Curves for Clinical Prediction Models
| boot | Bootstrap resample a calibration curve object |
| cal_metrics | Calculate calibration metrics from calibration curve |
| gam_cal | fits a calibration curve via gam |
| get_curve | Extract plot data from 'pmcalibration' object |
| glm_cal | fits a calibration curve via glm or Cox proportional hazards... |
| invlogit | Inverse logit transformation |
| loess_cal | calibration curve via 'loess' |
| logistic_cal | Run logistic calibration |
| logit | Logit transformation |
| lowess_cal | calibration curve via 'lowess' |
| plot.pmcalibration | Plot a calibration curve |
| pmcalibration | Create a calibration curve |
| pmcalibration-package | pmcalibration: Calibration Curves for Clinical Prediction... |
| predict_lowess | Get predictions from 'loewss' fit |
| print.logistic_cal | Print a 'logistic_cal' object |
| print.logistic_calsummary | Print a logistic_cal summary |
| print.pmcalibration | print a pmcalibration object |
| print.pmcalibrationsummary | Print summary of pmcalibration object |
| reg_spline_X | Make a design matrix for regression spline |
| riskdist | Make a plot of predicted risks by outcome |
| run_boots | Wrapper to run bootstrap resamples using 'parallel' |
| simb | Simulation based inference with a calibration curve object |
| sim_dat | Simulate a binary outcome with either a quadratic... |
| summary.logistic_cal | Summarize a logistic_cal object |
| summary.pmcalibration | Summarize a pmcalibration object |
