mlr3proba: An R Package for Machine Learning in Survival Analysis
This addresses a gap for researchers and practitioners in domains such as medicine and bioinformatics who need robust tools for survival analysis, though it is incremental as it builds on existing mlr3 infrastructure.
The authors tackled the lack of comprehensive machine learning interfaces for survival analysis in R by developing mlr3proba, a package that integrates with mlr3 to provide systematic infrastructure for modeling and evaluation in fields like medicine and bioinformatics.
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.