IyarLin/survXgboost: Full survival curve estimation using xgboost

The xgboost package survival model returns predictions on the hazard ratio scale (i.e., as HR = exp(marginal_prediction) in the proportional hazard function h(t) = h0(t) * HR. This quantity is equivalent to the type = "risk" in coxph. This package provides a thin wrapper that enables using the xgboost package to perform full survival curve estimation.

Getting started

Package details

AuthorIyar Lin <iyarlin@gmail.com>
MaintainerIyar Lin <iyarlin@gmail.com>
LicenseGPL-2
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("IyarLin/survXgboost")
IyarLin/survXgboost documentation built on Feb. 3, 2020, 5:44 a.m.