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Implements methods described in\nNajafzadehkhoei, Vega Yon, Modenesi, and Meyer (2025)\n. Users can automatically\ncalibrate ABMs in seconds with pre-trained ML models,\neffectively focusing on simulation rather than calibration.\nBridges a gap by allowing public health practitioners to run\ntheir own ABMs without the advanced technical expertise often\nrequired by calibration.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "LazyData": "true", "Config/pak/sysreqs": "libpng-dev python3", "Repository": "https://sima-njf.r-universe.dev", "Date/Publication": "2026-04-02 18:03:27 UTC", "RemoteUrl": "https://github.com/sima-njf/epiworldrcalibrate", "RemoteRef": "HEAD", "RemoteSha": "f8a39ce2cbda363fec0d8c10067c3baf45db3938", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 09:40:10 UTC", "User": "root" }, "Author": "Sima Najafzadehkhoei [aut, cre] (ORCID:\n),\nGeorge Vega Yon [aut] (ORCID: ),\nJake Wagoner [aut],\nBernardo Modenesi [aut],\nCenters for Disease Control 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