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.


survBoost

Installation

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")
install_github("EmilyLMorris/survBoost")

Travis build status

News

SurvBoost 0.1.1

No major changes to report yet.

  • Added a NEWS.md file to track changes to the package.

Bug fixes

  • Updated cross validation code to address a bug.

Reference manual

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install.packages("SurvBoost")

0.1.1 by Emily Morris, 5 months ago


Browse source code at https://github.com/cran/SurvBoost


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