ggprerec: The Precision-Recall plot

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

The Precision-Recall plot

Description

ggprerec plots Precision (PPV) v Recall (Sensitivity)

Usage

ggprerec(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).

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