ggrap: The Risk Assessment Plot

In JohnPickering/risk-assessment-plot-package: Risk Assessment Plot and reclassification metrics

The Risk Assessment Plot

Description

The function ggrap() plots the Sensitivity and 1-Specificity curves against the calculated risk for the baseline (reference) and newmodels, thus graphically displaying the IDIs for those with and without the events. These plots can aid interpretation of the NRI and IDI metrics.

Usage

ggrap(x1, x2 = NULL, y = NULL)

ggrap(x1, x2 = NULL, y = NULL)

Arguments

x1	Either a logistic regression fitted using glm (base package) or lrm (rms package) or alculated probabilities (eg through a logistic regression model) of the baseline model. Must be between 0 & 1
x2	Either a logistic regression fitted using glm (base package) or lrm (rms package) or calculated probabilities (eg through a logistic regression model) of the new (alternative) model. Must be between 0 & 1
y	Binary of outcome of interest. Must be 0 or 1 (if fitted models are provided this is extracted from the fit which for an rms fit must have x = TRUE, y = TRUE).

Value

a ggplot

a ggplot

References

The Risk Assessment Plot in this form was described by Pickering, J. W., & Endre, Z. H. (2012). New Metrics for Assessing Diagnostic Potential of Candidate Biomarkers. Clinical Journal of the American Society of Nephrology, 7, 1355–1364. doi:10.2215/CJN.09590911

The Risk Assessment Plot in this form was described by Pickering, J. W., & Endre, Z. H. (2012). New Metrics for Assessing Diagnostic Potential of Candidate Biomarkers. Clinical Journal of the American Society of Nephrology, 7, 1355–1364. doi:10.2215/CJN.09590911

JohnPickering/risk-assessment-plot-package documentation built on July 3, 2023, 8:41 a.m.