mlr3proba: An R Package for Machine Learning in Survival Analysis

Raphael Sonabend, Franz J Király, Andreas Bender, Bernd Bischl, Michel Lang, Jonathan Wren
2021 Bioinformatics  
Motivation 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
more » ... with mlr3's general model tuning and benchmarking facilities to provide a systematic infrastructure for survival modeling and evaluation. Availability 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.
doi:10.1093/bioinformatics/btab039 pmid:33523131 fatcat:cykvqsl7hvfa7at6iqkfbc2xli