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penAFT

0.3.2Package record

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

1packages depend
3.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 4.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.3.2
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
8includes a package overview page
Examples that run
86%6 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.4K
CRAN downloads in the past year
Rank #12,822 · ~9/day · ~286/mo
Daily download trend is not available in this view yet.
41730 days
86890 days
3.4K1 year
Compare downloads with other packages →
Also on342 r2u6 autocran

Repository

1Stars
1Forks
0Open issues
0Open PRs
0Releases
96Commits
3Commit identities
survival-analysisvariable-selection
96 commits · Last activity 2024-12-03
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

Checks run against github.com/ajmolstad/penaft on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing penAFT adds 20 packages (10 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (0)
none
Imports (4)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (2)
Author, Maintainer since 0.2.0 (2022)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.2Latest
    record
    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
    record
    2023-04-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.0
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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