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penAFT

0.3.2

Fit the Semiparametric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties

1packages depend
3.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Aaron J. MolstadFirst published 2022-01-253 releasesCRAN page ↗GitHub ↗

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

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
86%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.4K
CRAN downloads in the past year
Rank #15,999 · ~9/day · ~280/mo
Daily download trend is not available in this view yet.
17630 days
67990 days
3.4K1 year
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Repository

Repository
1Stars
1Forks
0Open issues
0Open PRs
0Releases
96Commits
3Contributors
survival-analysisvariable-selection
96 commits · Last activity 2024-12-03

Repository practices

Upstream repositoryBeta

Checks run against github.com/ajmolstad/penaft on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (4)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.2Latest
    2025-06-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3.0
    2023-04-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.0
    2022-01-25
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("penAFT")
Molstad, A. J., & Suder, P. M. (2025). penAFT: Fit the Semiparametric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties (Version 0.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.penAFT

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for penAFT version 0.3.2 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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