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predRupdate: Prediction Model Validation and Updating

Evaluate the predictive performance of an existing (i.e. previously developed) prediction/ prognostic model given relevant information about the existing prediction model (e.g. coefficients) and a new dataset. Provides a range of model updating methods that help tailor the existing model to the new dataset; see Su et al. (2018) <doi:10.1177/0962280215626466>. Techniques to aggregate multiple existing prediction models on the new data are also provided; see Debray et al. (2014) <doi:10.1002/sim.6080> and Martin et al. (2018) <doi:10.1002/sim.7586>).

Version:0.2.1
Depends:R (≥ 2.10)
Imports:utils, stats,survival,pROC,ggplot2,rlang,ggpubr
Suggests:covr,knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-07-02
DOI:10.32614/CRAN.package.predRupdate
Author:Glen P. MartinORCID iD [aut, cre, cph], David Jenkins [aut, cph], Matthew Sperrin [aut, cph]
Maintainer:Glen P. Martin <glen.martin31 at gmail.com>
BugReports:https://github.com/GlenMartin31/predRupdate/issues
License:MIT + fileLICENSE
URL:https://github.com/GlenMartin31/predRupdate,https://glenmartin31.github.io/predRupdate/
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
CRAN checks:predRupdate results

Documentation:

Reference manual:predRupdate.html ,predRupdate.pdf
Vignettes:Introduction to the predRupdate package (source,R code)
predRupdate_splineIllustration (source,R code)
Technical Background to predRupdate (source,R code)

Downloads:

Package source: predRupdate_0.2.1.tar.gz
Windows binaries: r-devel:predRupdate_0.2.1.zip, r-release:predRupdate_0.2.1.zip, r-oldrel:predRupdate_0.2.1.zip
macOS binaries: r-release (arm64):predRupdate_0.2.1.tgz, r-oldrel (arm64):predRupdate_0.2.1.tgz, r-release (x86_64):predRupdate_0.2.1.tgz, r-oldrel (x86_64):predRupdate_0.2.1.tgz
Old sources: predRupdate archive

Linking:

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