bcjaeger/xgboost.surv: Extreme Gradient Boosting for Survival Analysis

Gradient boosted decision trees are an excellent machine learning algorithm to develop prediction functions. For analyses with censored outcomes, there are a number of ways to leverage the popular and efficient R package 'xgboost'. The xgboost.surv package provides a framework to help you engage with these types of risk prediction analyses using `xgboost`.

install.packages("remotes")
remotes::install_github("bcjaeger/xgboost.surv")