mlr3proba: An R Package for Machine Learning in Survival Analysis
Computation
2021-03-19 v2 Machine Learning
Machine Learning
Abstract
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.
Keywords
Cite
@article{arxiv.2008.08080,
title = {mlr3proba: An R Package for Machine Learning in Survival Analysis},
author = {Raphael Sonabend and Franz J. Király and Andreas Bender and Bernd Bischl and Michel Lang},
journal= {arXiv preprint arXiv:2008.08080},
year = {2021}
}
Comments
Submitted to Bioinformatics