README.md

In penAFT: Fit the Regularized Gehan Estimator with Elastic Net and Sparse Group Lasso Penalties

penAFT

An R package for fitting semiparametric accelerated failure time models under weighted elastic net and weighted sparse group lasso penalties.

Installation

penAFT can be loaded directly into R through the the devtools package:

install.packages("devtools")
library(devtools)
devtools::install_github("ajmolstad/penAFT")

Citation

If you use this package, please cite:

Suder, PM, Molstad, AJ. Scalable algorithms for semiparametric accelerated failure time models in high dimensions. Statistics in Medicine. 2022; 1- 17. doi:10.1002/sim.9264

A bibtex entry can be downloaded directly from https://onlinelibrary.wiley.com/action/showCitFormats?doi=10.1002%2Fsim.9264.

Usage directions

See this document for details on implementation and usage.

penAFT documentation built on April 18, 2023, 9:10 a.m.