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A turn-key workflow for LLM-assisted systematic-review screening. The package ranks a corpus of titles and abstracts with an ensemble of open-source large language models served locally by 'Ollama', then applies the SAFE stopping rule to identify the records a human should screen. Defaults match the four-LLM mean ensemble and the SAFE configuration recommended by Spillias et al. (2026). A companion 'Shiny' app walks the human reviewer through the records above the stopping point. Complementary to the 'AIscreenR' package of Vembye et al. (2025) <doi:10.1037/met0000769>, which targets cloud-hosted 'GPT' models via the 'OpenAI' API; 'screenllm' targets locally-served open-weights ensembles with an integrated stopping rule.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli, digest, fs, jsonlite, tibble, dplyr, rlang, httr2, glue |
| Suggests: | shiny, bslib, DT, callr, later, writexl, readxl, testthat (≥ 3.0.0), knitr, rmarkdown, readr, withr, mockery, stringdist |
| Published: | 2026-09-24 |
| DOI: | 10.32614/CRAN.package.screenllm |
| Author: | Scott Spillias [aut, cre], Laura Avila Turriago [aut], Christopher Brown [aut], Ariane Easton [aut], Jack Roberts [aut], Michael Sievers [aut], Steve Swearer [aut], Andrew Taylor [aut], Brigette Wright [aut], Valeriya Komyakova [aut] |
| Maintainer: | Scott Spillias <scott.spillias at csiro.au> |
| BugReports: | https://github.com/s-spillias/screenllm/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/s-spillias/screenllm |
| NeedsCompilation: | no |
| Citation: | screenllm citation info |
| Materials: | README, NEWS |
| CRAN checks: | screenllm results |
| Reference manual: | screenllm.html , screenllm.pdf |
| Vignettes: |
screenllm quickstart (source, R code) |
| Package source: | screenllm_0.1.0.tar.gz |
| Windows binaries: | r-devel: screenllm_0.1.0.zip, r-release: screenllm_0.1.0.zip, r-oldrel: screenllm_0.1.0.zip |
| macOS binaries: | r-release (arm64): screenllm_0.1.0.tgz, r-oldrel (arm64): screenllm_0.1.0.tgz, r-release (x86_64): screenllm_0.1.0.tgz, r-oldrel (x86_64): screenllm_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.