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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 |
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 |
Reference manual: | predRupdate.pdf |
Vignettes: |
Introduction to the predRupdate package predRupdate_splineIllustration Technical Background to predRupdate |
Package source: | predRupdate_0.1.1.tar.gz |
Windows binaries: | r-devel: predRupdate_0.1.1.zip, r-release: predRupdate_0.1.1.zip, r-oldrel: predRupdate_0.1.1.zip |
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 |
Please use the canonical form https://CRAN.R-project.org/package=predRupdate 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.
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