predRupdate
0.2.1Prediction Model Validation and Updating
Overview
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).
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Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 17%
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Package metadata
- First published
- 2023-04-27
- Total releases
- 4 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 367 KB / 1 file
- Download size
- 683 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet