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. 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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