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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 gmail.com>
BugReports: https://github.com/stephenrho/pmcalibration/issues
License: GPL-3
URL: https://github.com/stephenrho/pmcalibration
NeedsCompilation: no
Citation: pmcalibration citation info
Materials: README NEWS
CRAN checks: pmcalibration results

Documentation:

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

Downloads:

Package source: pmcalibration_0.1.0.tar.gz
Windows binaries: r-devel: pmcalibration_0.1.0.zip, r-release: pmcalibration_0.1.0.zip, r-oldrel: pmcalibration_0.1.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pmcalibration to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.