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: 0.1.1
Depends: R (≥ 2.10)
Imports: utils, stats, survival, pROC, ggplot2, rlang, ggpubr
Suggests: covr, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-12-12
DOI: 10.32614/CRAN.package.predRupdate
Author: Glen P. Martin ORCID iD [aut, cre, cph], David Jenkins [aut, cph], Matthew Sperrin [aut, cph]
Maintainer: Glen P. Martin <glen.martin31 at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: predRupdate results


Reference manual: predRupdate.pdf
Vignettes: Introduction to the predRupdate package
Technical Background to predRupdate


Package source: predRupdate_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): predRupdate_0.1.1.tgz, r-oldrel (arm64): predRupdate_0.1.1.tgz, r-release (x86_64): predRupdate_0.1.1.tgz, r-oldrel (x86_64): predRupdate_0.1.1.tgz
Old sources: predRupdate archive


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