pvs {alternativeROC}R Documentation

Diagnostic performance: Predictive values from a ROC curve

Description

Diagnostic performance: Predictive values from a ROC curve

Usage

pvs(
  roc = NULL,
  prevalence,
  thresholds = roc$thresholds,
  sensitivities = roc$sensitivities,
  specificities = roc$specificities
)

Arguments

roc

Object of class pROC.

prevalence

Prevalence of the endpoint in the study population.

thresholds

Thresholds of the ROC curve, default is roc$thresholds.

sensitivities

Sensitivity values of the ROC curve, default is roc$sensitivities.

specificities

Specificity values of the ROC curve, default is roc$specificities.

Details

This function computes the positive and negative predictive values from a ROC curve, given the prevalence of the positive outcome.

Value

A data frame with the following columns:


[Package alternativeROC version 1.0.0 Index]