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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>).

Versions across snapshots

VersionRepositoryFileSize
0.2.1 rolling linux/jammy R-4.5 predRupdate_0.2.1.tar.gz 777.7 KiB
0.2.1 rolling linux/noble R-4.5 predRupdate_0.2.1.tar.gz 777.8 KiB
0.2.1 rolling source/ R- predRupdate_0.2.1.tar.gz 682.5 KiB
0.2.1 latest linux/jammy R-4.5 predRupdate_0.2.1.tar.gz 777.7 KiB
0.2.1 latest linux/noble R-4.5 predRupdate_0.2.1.tar.gz 777.8 KiB
0.2.1 latest source/ R- predRupdate_0.2.1.tar.gz 682.5 KiB
0.2.1 2026-04-26 source/ R- predRupdate_0.2.1.tar.gz 682.5 KiB
0.2.1 2026-04-23 source/ R- predRupdate_0.2.1.tar.gz 682.5 KiB
0.2.1 2026-04-09 windows/windows R-4.5 predRupdate_0.2.1.zip 787.2 KiB
0.2.0 2025-04-20 source/ R- predRupdate_0.2.0.tar.gz 680.4 KiB

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