tedwestling/survSuperLearner: Super Learning for Conditional Survival Functions with Right-Censored Data

This package provides functions for estimating and predicting conditional survival functions for the event and censoring times from right-censored data. The method is based on the general SuperLearner methodology (van der Laan et al., 2007), and the code is similary in functionality to that from the SuperLearner package.

Getting started

Package details

AuthorTed Westling
MaintainerTed Westling <twestling@math.umass.edu>
LicenseMIT
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tedwestling/survSuperLearner")
tedwestling/survSuperLearner documentation built on Dec. 12, 2024, 4:16 p.m.