mlr3proba: An R Package for Machine Learning in Survival Analysis release_rev_283f9519-ebbd-4c90-83f2-332898596aca

by Raphael Sonabend, Franz J Király, Andreas Bender, Bernd Bischl, Michel Lang

Published in Bioinformatics by Oxford University Press (OUP).

2021  

Abstract

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Motivation</jats:title> 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. </jats:sec> <jats:sec> <jats:title>Availability</jats:title> mlr3proba is available under an LGPL-3 license on CRAN and at https://github.com/mlr-org/mlr3proba, with further documentation at https://mlr3book.mlr-org.com/survival.html. </jats:sec>
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Type  article-journal
Stage   published
Date   2021-02-01
Language   en ?
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ISSN-L:  1367-4803
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