penAFT
0.3.2Fit the Semiparametric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties
Overview
The semiparametric accelerated failure time (AFT) model is an attractive alternative to the Cox proportional hazards model. This package provides a suite of functions for fitting one popular rank-based estimator of the semiparametric AFT model, the regularized Gehan estimator. Specifically, we provide functions for cross-validation, prediction, coefficient extraction, and visualizing both trace plots and cross-validation curves. For further details, please see Suder, P. M. and Molstad, A. J., (2022) Scalable algorithms for semiparametric accelerated failure time models in high dimensions, Statistics in Medicine doi:10.1002/sim.9264.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 86%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
Checks run against github.com/ajmolstad/penaft on 2026-08-02.
No development-tooling practices detected in the upstream repository.
Dependencies
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.3.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.3.02023-04-18 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.2.02022-01-25
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-01-25
- Total releases
- 3 / 4 yrs
- License
- GPL (>= 2) OSI
- Download size
- 19 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet