Gradient Boosting for Survival Data

Gradient boosting for optimizing loss functions of different types of survival data, including stratified data. Emily Morris, Kevin He, Yanming Li, Yi Li, Jian Kang (2018) see for description of methods.



In order to install the package, several other R packages must be installed. The code relies on Rcpp, RcppArmadillo, and RcppParallel in order to improve computational speed. Additionally the survival package is used for simulation and post selection inference and will be required for installation. The following line of R code installs the package.

# install.packages("devtools")

Travis build status


SurvBoost 0.1.1

No major changes to report yet.

  • Added a file to track changes to the package.

Bug fixes

  • Updated cross validation code to address a bug.

Reference manual

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0.1.2 by Emily Morris, a year ago

Browse source code at

Authors: Emily Morris , Kevin He , Yanming Li , Yi Li , Jian Kang

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, mvtnorm, ggplot2, plyr, reshape2, directlabels

Depends on survival

Linking to Rcpp, RcppArmadillo, RcppParallel

See at CRAN