{ "_id": "6a104231acfb0bcc41c9dae5", "Package": "metagam", "Type": "Package", "Title": "Meta-Analysis of Generalized Additive Models", "Version": "0.4.1", "Authors@R": "c(person(\"Oystein\", \"Sorensen\", \nemail = \"oystein.sorensen@psykologi.uio.no\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0724-3542\")),\nperson(\"Andreas M.\", \"Brandmaier\",\nemail = \"brandmaier@mpib-berlin.mpg.de\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-8765-6982\")),\nperson(\"Athanasia Mo\", \"Mowinckel\",\nemail = \"a.m.mowinckel@psykologi.uio.no\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-5756-0223\")))", "Description": "Meta-analysis of generalized additive models and\ngeneralized additive mixed models. A typical use case is when\ndata cannot be shared across locations, and an overall\nmeta-analytic fit is sought. 'metagam' provides functionality\nfor removing individual participant data from models computed\nusing the 'mgcv' and 'gamm4' packages such that the model\nobjects can be shared without exposing individual data.\nFurthermore, methods for meta-analysing these fits are\nprovided. The implemented methods are described in Sorensen et\nal. (2020), , extending\nprevious works by Schwartz and Zanobetti (2000) and Crippa et\nal. (2018) .", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "URL": "https://lifebrain.github.io/metagam/,\nhttps://github.com/Lifebrain/metagam", "BugReports": "https://github.com/Lifebrain/metagam/issues", "VignetteBuilder": "knitr", "Repository": "https://lifebrain.r-universe.dev", "Date/Publication": "2025-07-01 09:57:57 UTC", "RemoteUrl": "https://github.com/Lifebrain/metagam", "RemoteRef": "HEAD", "RemoteSha": "ae84c2459e2a6c8c46f90407a60a39d61bbc18d1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 07:28:31 UTC", "User": "root" }, "Author": "Oystein Sorensen [aut, cre] (ORCID:\n),\nAndreas M. 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