plot.ROC.GLM: Visualize ROC-GLM

In difuture-lmu/dsROCGLM: ROC and calibration analysis for DataSHIELD

Visualize ROC-GLM

Description

This function plots the approximted ROC curve after calculating the ROC-GLM using 'dsROCGLM'. The function calculates a regular grid from 0 to 1 and calculate the ROC from the binormal form 'pnorm(a + b*qnorm(x))' with a and b the parameter from the ROC-GLM.

Usage

## S3 method for class 'ROC.GLM'
plot(x, ...)

Arguments

x	('list()') List containing the ROC-GLM parameter returned from 'dsROCGLM'.
...	Additional parameter. Two special parameter 'by' ('numeric(1L)') and 'plot_ci' ('logical(1L)') can can be specified. 'by' is a numeric value indicating the grid size (default is '0.001'). This value must be between 0 and 1. 'plot_ci' is an indicator whether the CI should be added to the plot or not (default is 'TRUE').

Value

ggplot of approximated ROC curve, AUC, and CI for the AUC.

Author(s)

Daniel S.

difuture-lmu/dsROCGLM documentation built on March 24, 2024, 1:07 p.m.