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predRupdate  

Prediction Model Validation and Updating
View on CRAN: Click here


Download and install predRupdate package within the R console
Install from CRAN:
install.packages("predRupdate")

Install from Github:
library("remotes")
install_github("cran/predRupdate")

Install by package version:
library("remotes")
install_version("predRupdate", "0.2.0")



Attach the package and use:
library("predRupdate")
Maintained by
Glen P. Martin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-27
Latest Update: 2023-12-12
Description:
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) . Techniques to aggregate multiple existing prediction models on the new data are also provided; see Debray et al. (2014) and Martin et al. (2018) ).
How to cite:
Glen P. Martin (2023). predRupdate: Prediction Model Validation and Updating. R package version 0.2.0, https://cran.r-project.org/web/packages/predRupdate. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-04-27 15:00), 0.1.1 (2023-12-12 17:00)
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