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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>).
Package details |
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| Author | Glen P. Martin [aut, cre, cph] (<https://orcid.org/0000-0002-3410-9472>), David Jenkins [aut, cph], Matthew Sperrin [aut, cph] |
| Maintainer | Glen P. Martin <glen.martin31@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/GlenMartin31/predRupdate https://glenmartin31.github.io/predRupdate/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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