predieval: Assessing Performance of Prediction Models for Predicting Patient-Level Treatment Benefit

Methods for assessing the performance of a prediction model with respect to identifying patient-level treatment benefit. All methods are applicable for continuous and binary outcomes, and for any type of statistical or machine-learning prediction model as long as it uses baseline covariates to predict outcomes under treatment and control.

Getting started

Package details

AuthorOrestis Efthimiou
MaintainerOrestis Efthimiou <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the predieval package in your browser

Any scripts or data that you put into this service are public.

predieval documentation built on April 19, 2022, 5:08 p.m.