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iglm

1.2.5

Regression under Interference in Connected Populations

0packages depend
3.3Kdownloads / year
40.1%test coverage
13/13checks pass

Overview

About
Maintained by Cornelius FritzFirst published 2025-11-258 releasesCRAN page ↗GitHub ↗

An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) doi:10.1080/01621459.2025.2565851. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.

Install

Health

CRAN checks
13OK
Slowest check: 5.8 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.13
40.1%
Coverage · measured lines
100%
Documentation · exports
11
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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-09
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
67%
References docs
37%

Downloads

3.3K
CRAN downloads in the past year
Rank #7,179 · ~9/day · ~278/mo
Daily download trend is not available in this view yet.
24130 days
1.2K90 days
3.3K1 year
Compare downloads with other packages →
Also on1.7K r2u25 autocran

Repository

Repository
4Stars
1Forks
0Open issues
3Open PRs
1Releases
143Commits
1Contributors
143 commits · Last activity 2026-08-05

Forks over time

2026-07-09 · 02026-08-11 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/corneliusfritz/iglm on 2026-08-23.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0RcppProgress
Imports (10)
RcppR6MASSRcppArmadilloMatrixparallelmethodscodaigraphragg
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

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

  • 1.2.5Latest
    2026-07-09 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.4
    2026-04-23 · diff ↗
  • 1.2.3
    2026-04-11 · diff ↗
  • 1.2.2
    2026-03-30 · diff ↗
  • 1.2.1
    2026-03-18 · diff ↗
  • 1.2
    2026-03-16 · diff ↗
  • 1.1
    2025-11-28 · diff ↗
  • 1.0
    2025-11-25
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-25
Total releases
8 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
119 KB / 3 files
Download size
863 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iglm")
Fritz, C., & Schweinberger, M. (2026). iglm: Regression under Interference in Connected Populations (Version 1.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.iglm

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 iglm version 1.2.5 [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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