Mlr3proba: Probabilistic Supervised Learning for 'Mlr3'. R Package Version 0.2.6

MCML Authors

Andreas Bender

Dr.

→ Group Bernd Bischl
 Statistical Learning and Data Science

Bernd Bischl

Prof. Dr.

Director

Statistical Learning and Data Science

Michel Lang

Dr.

* Former Member

→ Group Bernd Bischl
 Statistical Learning and Data Science

Abstract

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 modelling and evaluation.

manual SKB20

---

SW Package

Jan. 2020

---

Authors

R. Sonabend • F. J. Kiraly • A. Bender • B. Bischl • M. Lang

---

Links

DOI URL

---

Research Area

 A1 | Statistical Foundations & Explainability