AIscreenR
0.4.0AI Screening Tools in R for Systematic Reviewing
Overview
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
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1314 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1213 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 13%
- Documented parameters
- 95%
- Return-value docs
- 100%
- References docs
- 42%
Downloads
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Repository practices
6 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/mikkelvembye/aiscreenr on 2026-07-19.
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Code & Tests
Datasets
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
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