Package: AIscreenR
Title: AI Screening Tools in R for Systematic Reviewing
Version: 0.3.2
Authors@R: c(
    person(given = "Mikkel H.", 
           family = "Vembye", 
           email = "mikkel.vembye@gmail.com", 
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-9071-0724")),
    person(given = "Thomas", 
           family = "Olsen", 
           email = "thomasolsen123@hotmail.com", 
           role = c("aut"))
           )
Description: 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>.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: dplyr, tibble, httr2, stringr, furrr, tidyr, tictoc, askpass,
        curl, purrr, lifecycle, jsonlite, htmltools, tidyselect, rlang
Suggests: future, knitr, rmarkdown, usethis, testthat (>= 3.0.0),
        withr, readtext, quarto
Config/testthat/edition: 3
Config/testthat/parallel: true
Config/testthat/start-first: tabscreen_gpt, approximate_price_gpt,
        rate_limits, api_key_functions
URL: https://mikkelvembye.github.io/AIscreenR/,
        https://github.com/MikkelVembye/AIscreenR
BugReports: https://github.com/MikkelVembye/AIscreenR/issues
LazyData: true
VignetteBuilder: quarto
Config/Needs/website: quarto
NeedsCompilation: no
Packaged: 2026-04-20 19:26:03 UTC; B199526
Author: Mikkel H. Vembye [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9071-0724>),
  Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-20 20:50:17 UTC
Built: R 4.7.0; ; 2026-06-01 04:09:20 UTC; windows
