# mlr3proba: An R Package for Machine Learning in Survival Analysis

arXiv: https://arxiv.org/abs/2008.08080 · HTML: https://mlsanity.com/paper/2008.08080/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Aug 2020.

## Built on by (most cited first, 1 of 1)

- [Designing Machine Learning Toolboxes: Concepts, Principles and Patterns](https://mlsanity.com/paper/2101.04938/) (2021)

## Abstract (arXiv)

As machine learning has become increasingly popular over the last few decades, so too has the number of machine learning interfaces for implementing these models. Whilst many R libraries exist for machine learning, very few offer extended support for survival analysis. This is problematic considering its importance in fields like medicine, bioinformatics, economics, engineering, and more. mlr3proba provides a comprehensive machine learning interface for survival analysis and connects with mlr3's general model tuning and benchmarking facilities to provide a systematic infrastructure for survival modeling and evaluation.