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mlr3proba: An R Package for Machine Learning in Survival Analysis
release_cykvqsl7hvfa7at6iqkfbc2xli
by
Raphael Sonabend,
Franz J Király,
Andreas Bender,
Bernd Bischl,
Michel Lang
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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