mlr3proba: an R package for machine learning in survival analysis

ABSTRACT Summary 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 probl...

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Published inBioinformatics (Oxford, England) Vol. 37; no. 17; pp. 2789 - 2791
Main Authors Sonabend, Raphael, Király, Franz J., Bender, Andreas, Bischl, Bernd, Lang, Michel
Format Journal Article
LanguageEnglish
Published England Oxford University Press 09.09.2021
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Summary:ABSTRACT Summary 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. Availability and implementation mlr3proba is available under an LGPL-3 licence on CRAN and at https://github.com/mlr-org/mlr3proba, with further documentation at https://mlr3book.mlr-org.com/survival.html.
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ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btab039