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>.

Version: 0.1.0
Imports: Hmisc, MASS, checkmate, chk, mgcv, splines, graphics, stats, methods, survival, pbapply, parallel
Suggests: knitr, rmarkdown, data.table, ggplot2, rms, simsurv
Published: 2023-09-06
DOI: 10.32614/CRAN.package.pmcalibration
Author: Stephen Rhodes [aut, cre, cph]
Maintainer: Stephen Rhodes <steverho89 at>
License: GPL-3
NeedsCompilation: no
Citation: pmcalibration citation info
Materials: README NEWS
CRAN checks: pmcalibration results


Reference manual: pmcalibration.pdf
Vignettes: External validation using 'pmcalibration'
Internal validation using 'pmcalibration'


Package source: pmcalibration_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pmcalibration_0.1.0.tgz, r-oldrel (arm64): pmcalibration_0.1.0.tgz, r-release (x86_64): pmcalibration_0.1.0.tgz, r-oldrel (x86_64): pmcalibration_0.1.0.tgz


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