Recalibrate risk scores (predicting binary outcomes) to improve clinical utility of risk score using weighted logistic or constrained logistic recalibration methods. Additionally, produces plots to assess the potential for recalibration to improve the clinical utility of a risk model. Methods are described in detail in Mishra, A. (2019) "Methods for Risk Markers that Incorporate Clinical Utility" <http://hdl.handle.net/1773/44068>.
Version: | 0.1.0 |
Imports: | lattice, caret, ggplot2, stats, cowplot, nloptr |
Published: | 2020-04-15 |
Author: | Anu Mishra |
Maintainer: | Anu Mishra <anmishra at uw.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | ClinicalUtilityRecal results |
Reference manual: | ClinicalUtilityRecal.pdf |
Package source: | ClinicalUtilityRecal_0.1.0.tar.gz |
Windows binaries: | r-devel: ClinicalUtilityRecal_0.1.0.zip, r-release: ClinicalUtilityRecal_0.1.0.zip, r-oldrel: ClinicalUtilityRecal_0.1.0.zip |
macOS binaries: | r-release: ClinicalUtilityRecal_0.1.0.tgz, r-oldrel: ClinicalUtilityRecal_0.1.0.tgz |
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