{ "_id": "6a55c23aff0138dec5d688e5", "Package": "metaggR", "Type": "Package", "Title": "Calculate the Knowledge-Weighted Estimate", "Version": "0.3.0", "Authors@R": "c(person(given = \"Ville\",\nfamily = \"Satopää\",\nemail = \"ville.satopaa@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\")),\nperson(given = \"Asa\",\nfamily = \"Palley\",\nrole = \"aut\"))", "Description": "According to a phenomenon known as \"the wisdom of the\ncrowds,\" combining point estimates from multiple judges often\nprovides a more accurate aggregate estimate than using a point\nestimate from a single judge. However, if the judges use shared\ninformation in their estimates, the simple average will\nover-emphasize this common component at the expense of the\njudges’ private information. Asa Palley & Ville Satopää (2021)\n\"Boosting the Wisdom of Crowds Within a Single Judgment\nProblem: Selective Averaging Based on Peer Predictions\"\n\nproposes a procedure for calculating a weighted average of the\njudges’ individual estimates such that resulting aggregate\nestimate appropriately combines the judges' collective\ninformation within a single estimation problem. The authors use\nboth simulation and data from six experimental studies to\nillustrate that the weighting procedure outperforms existing\naveraging-like methods, such as the equally weighted average,\ntrimmed average, and median. This aggregate estimate -- know as\n\"the knowledge-weighted estimate\" -- inputs a) judges'\nestimates of a continuous outcome (E) and b) predictions of\nothers' average estimate of this outcome (P). In this\nR-package, the function knowledge_weighted_estimate(E,P)\nimplements the knowledge-weighted estimate. Its use is\nillustrated with a simple stylized example and on real-world\nexperimental data.", "License": "GPL-2", "Copyright": "(c) Ville Satopaa", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-14 04:56:57 UTC", "User": "root" }, "Author": "Ville Satopää [aut, cre, cph], Asa Palley [aut]", "Maintainer": "Ville Satopää ", "Repository": "https://satopaa.r-universe.dev", "Date/Publication": "2022-04-25 09:00:02 UTC", "RemoteUrl": "https://github.com/cran/metaggR", "RemoteRef": "HEAD", "RemoteSha": "6aec9ebb600f1f5278f3fe8800c530b03ec611f3", "_user": "satopaa", "_type": "src", "_file": "metaggR_0.3.0.tar.gz", "_fileid": "https://r2.ropensci.org/000fd9131a341c4eead4bcec6aa3ca5159c11edaf9bea215c639d5e17725927d", "_filesize": 468809, "_sha256": "000fd9131a341c4eead4bcec6aa3ca5159c11edaf9bea215c639d5e17725927d", "_expires": "2026-10-22T04:59:36.000Z", 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">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "satopaa", "count": 3, "uuid": 2185253 } ], "_userbio": { "uuid": 2185253, "type": "user", "name": "Ville Satopaa", "followers": 3 }, "_downloads": { "count": 276, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/metaggR" }, "_searchresults": 15, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/metaggR.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_realowner": "satopaa", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2021-01-09" }, { "version": "0.2.0", "date": "2021-08-17" }, { "version": "0.3.0", "date": "2022-04-25" } ], "_exports": [ "get_influence_scores", "knowledge_gap", "knowledge_weighted_estimate", "knowledge_weights" ], 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