README.md

In ajmolstad/penAFT: Fit the Semiparameteric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties

penAFT

An R package for fitting the semiparametric accelerated failure time model with weighted elastic net and weighted sparse group lasso penalties. Note. This package is also available on CRAN.

Installation

penAFT can be loaded directly into R through 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

For conveience, the bibtex entry for this article is provided below.

@article{https://doi.org/10.1002/sim.9264,
  author = {Suder, Piotr M. and Molstad, Aaron J.},
  title = {Scalable algorithms for semiparametric accelerated failure time models in high dimensions},
  journal = {Statistics in Medicine},
  volume = {41},
  number = {6},
  pages = {933-949},
  doi = {https://doi.org/10.1002/sim.9264},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.9264},
  eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9264},
  year = {2022}
}

Usage directions

See this document for details on implementation and usage.

ajmolstad/penAFT documentation built on Dec. 5, 2024, 1:18 a.m.