In mwheymans/psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Introduction

The psfmi package includes the function pool_auc, to pool the values of multiple Area Under the Curve values. This vignette show you how to use this function. The function needs as input a list of the multiple AUC and related standard error values.

Example

auc <- list(0.84, 0.78, 0.75, 0.71, 0.79)
auc_se <- list(0.04, 0.05, 0.01, 0.02, 0.03)

psfmi::pool_auc(auc, auc_se)

mwheymans/psfmi documentation built on June 30, 2023, 5:25 a.m.