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AIscreenR

0.4.0

AI Screening Tools in R for Systematic Reviewing

0packages depend
7.2Kdownloads / year
20.5%test coverage
13/13checks pass

Overview

About
Maintained by Mikkel H. VembyeFirst published 2024-11-087 releasesCRAN page ↗GitHub ↗

Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' https://developers.openai.com/. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) DOI:10.1037/met0000769.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.32
20.5%
Coverage · measured lines
100%
Documentation · exports
15
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
  • OK2026-03-13
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-03-12
    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 siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
13%
Documented parameters
95%
Return-value docs
100%
References docs
42%

Downloads

7.2K
CRAN downloads in the past year
Rank #5,073 · ~20/day · ~598/mo
Daily download trend is not available in this view yet.
33630 days
1.6K90 days
7.2K1 year
Compare downloads with other packages →
Also on227 r2u35 autocran

Repository

Repository
17Stars
5Forks
2Open issues
0Open PRs
7Releases
646Commits
7Contributors
openaisystematic-reviewgptscreening
License GPL-3.0 · 646 commits · Last activity 2026-08-03 · 0% stars, 30d

Stars over time

2025-07-31 · 132026-07-07 · 17

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/mikkelvembye/aiscreenr on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
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
Author · added in 0.2.0
Package Timeline

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

  • 0.4.0Latest
    2026-07-02 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.2
    2026-04-21 · diff ↗
  • 0.3.1
    2026-04-14 · diff ↗
  • 0.3.0
    2026-04-13 · diff ↗
  • 0.2.0
    2025-08-18 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1
    2024-11-26 · diff ↗
  • 0.1.0
    2024-11-08
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-08
Total releases
7 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
124 KB / 7 files
Download size
1.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("AIscreenR")
Vembye, M. H., & Olsen, T. (2026). AIscreenR: AI Screening Tools in R for Systematic Reviewing (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.AIscreenR

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 AIscreenR version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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