esm-ispm-unibe-ch/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
Browse package contents
Package details |
|
|---|---|
| Author | Orestis Efthimiou |
| Maintainer | Orestis Efthimiou <oremiou@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1.2 |
| URL | https://github.com/esm-ispm-unibe-ch/predieval |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
