ClinicalUtilityRecal: Recalibration Methods for Improved Clinical Utility of Risk Scores

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

Documentation:

Reference manual:

ClinicalUtilityRecal.pdf

Downloads:

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 (arm64): ClinicalUtilityRecal_0.1.0.tgz, r-oldrel (arm64): ClinicalUtilityRecal_0.1.0.tgz, r-release (x86_64): ClinicalUtilityRecal_0.1.0.tgz, r-oldrel (x86_64): ClinicalUtilityRecal_0.1.0.tgz

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