pmcalibration
Calibration Curves for Clinical Prediction Models
Fit calibrations curves for clinical prediction models and calculate several associated metrics (Eavg, E50, E90, Emax). Ideally predicted probabilities from a prediction model should align with observed probabilities. Calibration curves relate predicted probabilities (or a transformation thereof) to observed outcomes via a flexible non-linear smoothing function. 'pmcalibration' allows users to choose between several smoothers (regression splines, generalized additive models/GAMs, lowess, loess). Both binary and time-to-event outcomes are supported. See Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>; Austin and Steyerberg (2019) <doi:10.1002/sim.8281>; Austin et al. (2020) <doi:10.1002/sim.8570>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | pmcalibration_0.2.0.tar.gz |
369.3 KiB |
0.2.0 |
rolling linux/noble R-4.5 | pmcalibration_0.2.0.tar.gz |
369.4 KiB |
0.2.0 |
rolling source/ R- | pmcalibration_0.2.0.tar.gz |
291.4 KiB |
0.2.0 |
latest linux/jammy R-4.5 | pmcalibration_0.2.0.tar.gz |
369.3 KiB |
0.2.0 |
latest linux/noble R-4.5 | pmcalibration_0.2.0.tar.gz |
369.4 KiB |
0.2.0 |
latest source/ R- | pmcalibration_0.2.0.tar.gz |
291.4 KiB |
0.2.0 |
2026-04-26 source/ R- | pmcalibration_0.2.0.tar.gz |
291.4 KiB |
0.2.0 |
2026-04-23 source/ R- | pmcalibration_0.2.0.tar.gz |
291.4 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | pmcalibration_0.2.0.zip |
374.3 KiB |
0.2.0 |
2025-04-20 source/ R- | pmcalibration_0.2.0.tar.gz |
291.4 KiB |