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eventglm

1.4.5

Regression Models for Event History Outcomes

1packages depend
5.8Kdownloads / year
72.2%test coverage
13/13checks pass

Overview

About
Maintained by Michael C SachsFirst published 2020-11-065 releasesCRAN page ↗GitHub ↗

A user friendly, easy to understand way of doing event history regression for marginal estimands of interest, including the cumulative incidence and the restricted mean survival, using the pseudo observation framework for estimation. For a review of the methodology, see Andersen and Pohar Perme (2010) doi:10.1177/0962280209105020 or Sachs and Gabriel (2022) doi:10.18637/jss.v102.i09. The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and corrected variance estimation.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.19
72.2%
Coverage · measured lines
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 238 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
93%
References docs
11%

Downloads

5.8K
CRAN downloads in the past year
Rank #10,089 · ~16/day · ~485/mo
Daily download trend is not available in this view yet.
27430 days
95890 days
5.8K1 year
Compare downloads with other packages →
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Repository

Repository
5Stars
3Forks
3Open issues
0Open PRs
0Releases
68Commits
2Contributors
License GPL-3.0 · 68 commits · Last activity 2025-02-28

Stars over time

2023-12-01 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/sachsmc/eventglm on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (4)
survivalsandwichstatsgeepack
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (3)
Contributor
Contributor
Contributor
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.5Latest
    2025-03-03 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.2
    2022-04-26 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.1
    2021-06-01 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.2
    2020-11-10 · diff ↗
  • 1.0.1
    2020-11-06
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-06
Total releases
5 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
21 KB / 2 files
Download size
390 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eventglm")
Sachs, M. C., Gabriel, E. E., Gerds, T. A., Overgaard, M., & Therneau, T. (2025). eventglm: Regression Models for Event History Outcomes (Version 1.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.eventglm

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 eventglm version 1.4.5 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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