AIscreenR: AI Screening Tools in R for Systematic Reviewing

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://platform.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 (2024) <doi:10.31219/osf.io/yrhzm>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: dplyr, tibble, httr2, stringr, furrr, tidyr, tictoc, askpass, curl, purrr, lifecycle, jsonlite
Suggests: future, knitr, rmarkdown, usethis, testthat (≥ 3.0.0)
Published: 2024-11-08
DOI: 10.32614/CRAN.package.AIscreenR
Author: Mikkel H. Vembye ORCID iD [aut, cre, cph]
Maintainer: Mikkel H. Vembye <mikkel.vembye at gmail.com>
BugReports: https://github.com/MikkelVembye/AIscreenR/issues
License: GPL (≥ 3)
URL: https://mikkelvembye.github.io/AIscreenR/, https://github.com/MikkelVembye/AIscreenR
NeedsCompilation: no
Materials: NEWS
CRAN checks: AIscreenR results

Documentation:

Reference manual: AIscreenR.pdf
Vignettes: Using OpenAI's GPT API models for Title and Abstract Screening in Systematic Reviews (source, R code)

Downloads:

Package source: AIscreenR_0.1.0.tar.gz
Windows binaries: r-devel: AIscreenR_0.1.0.zip, r-release: AIscreenR_0.1.0.zip, r-oldrel: AIscreenR_0.1.0.zip
macOS binaries: r-release (arm64): AIscreenR_0.1.0.tgz, r-oldrel (arm64): AIscreenR_0.1.0.tgz, r-release (x86_64): AIscreenR_0.1.0.tgz, r-oldrel (x86_64): AIscreenR_0.1.0.tgz

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