Package: AIscreenR
Title: AI Screening Tools in R for Systematic Reviewing
Version: 0.4.0
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
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
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-02 21:12:44 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2026-07-02 03:52:08 UTC
RemoteUrl: https://github.com/cran/AIscreenR
RemoteRef: HEAD
RemoteSha: 36b6f05d3d4cd6eb5ca697ccb20be654c7e0c526