https://s-spillias.r-universe.devRecent package updates in s-spilliasR-universehttps://github.com/s-spillias.pnghttps://s-spillias.r-universe.devTue, 15 Sep 2026 05:24:00 GMTscott.spillias@csiro.au (Scott Spillias)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.https://github.com/r-universe/s-spillias/actions/runs/36120822649Tue, 15 Sep 2026 05:24:00 GMTscreenllm0.1.0successhttps://s-spillias.r-universe.devhttps://github.com/s-spillias/screenllmquickstart.Rmdquickstart.htmlscreenllm quickstart2026-07-13 23:39:092026-07-14 02:00:31