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ClinicalUtilityRecal (version 0.1.0)

Recalibration Methods for Improved Clinical Utility of Risk Scores

Description

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" .

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Version

Install

install.packages('ClinicalUtilityRecal')

Monthly Downloads

230

Version

0.1.0

License

GPL-2

Maintainer

Anu Mishra

Last Published

April 15th, 2020

Functions in ClinicalUtilityRecal (0.1.0)

cvWtTuning

Cross-validation for Selecting Weight Tuning Parameter
calCurvPlot

Calibration Curve Plot
stdRecal

Standard Logistic Recalibration
RAWgrid

RAW grid for Cross Validation
snbRecalPlot

Plot of Potential sNB Under Recalibration
nb

Net Benefit
cvRepWtTuning

Repeated Cross Validation for Weight Tuning Parameter Selection
calWt

Calibration Weights
fakeData

Dataset for Recalibration Purposes
wtRecal

Weighted Logistic Recalibration
constRecal

Constrained Logistic Recalibration