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:	0.2.0
Depends:	R (≥ 2.10)
Imports:	utils, stats, survival, pROC, ggplot2, rlang, ggpubr
Suggests:	covr, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-08-23
DOI:	10.32614/CRAN.package.predRupdate
Author:	Glen P. Martin [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 + file LICENSE
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.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_0.2.0.tar.gz
Windows binaries:	r-devel: predRupdate_0.2.0.zip, r-release: predRupdate_0.2.0.zip, r-oldrel: predRupdate_0.2.0.zip
macOS binaries:	r-release (arm64): predRupdate_0.2.0.tgz, r-oldrel (arm64): predRupdate_0.2.0.tgz, r-release (x86_64): predRupdate_0.2.0.tgz, r-oldrel (x86_64): predRupdate_0.2.0.tgz
Old sources:	predRupdate archive

Linking:

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