{ "_id": "6acd70f5a14063b82c3ab8e8", "Package": "ERP", "Type": "Package", "Title": "Significance Analysis of Event-Related Potentials Data", "Version": "2.2", "Date": "2019-12-10", "Author": "David Causeur, Ching-Fan Sheu, Mei-Chen Chu, Flavia Rufini", "Maintainer": "David Causeur ", "Description": "Functions for signal detection and identification designed\nfor Event-Related Potentials (ERP) data in a linear model\nframework. The functional F-test proposed in Causeur, Sheu,\nPerthame, Rufini (2018, submitted) for analysis of variance\nissues in ERP designs is implemented for signal detection\n(tests for mean difference among groups of curves in One-way\nANOVA designs for example). Once an experimental effect is\ndeclared significant, identification of significant intervals\nis achieved by the multiple testing procedures reviewed and\ncompared in Sheu, Perthame, Lee and Causeur (2016,\n). Some of the methods gathered in the\npackage are the classical FDR- and FWER-controlling procedures,\nalso available using function p.adjust. The package also\nimplements the Guthrie-Buchwald procedure (Guthrie and\nBuchwald, 1991 ), which\naccounts for the auto-correlation among t-tests to control\nerroneous detection of short intervals. The Adaptive\nFactor-Adjustment method is an extension of the method\ndescribed in Causeur, Chu, Hsieh and Sheu (2012,\n). It assumes a factor model for\nthe correlation among tests and combines adaptively the\nestimation of the signal and the updating of the dependence\nmodelling (see Sheu et al., 2016, for\nfurther details).", "License": "GPL (>= 2)", "URL": "http://erpinr.org", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-12 23:13:38 UTC", "User": "root" }, "Config/pak/sysreqs": "git", "Repository": "https://cranhaven.r-universe.dev", "Date/Publication": "2026-10-12 08:02:00 UTC", "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev", "RemoteRef": "package/ERP", "RemoteSha": "3e0c6a4589fb52b6497bb92ec830db0e9218e48e", "RemoteSubdir": "ERP", "_user": "cranhaven", "_type": "src", "_file": "ERP_2.2.tar.gz", "_fileid": "https://r2.ropensci.org/ad19ee9e0fb985a4dff712b18ec7f7a79f1af6f8118606856a23b7e03cc8b8b7", "_filesize": 1910027, "_sha256": "ad19ee9e0fb985a4dff712b18ec7f7a79f1af6f8118606856a23b7e03cc8b8b7", "_expires": "2027-01-20T23:44:50.000Z", "_created": "2026-10-12T23:13:38.000Z", "_published": "2026-10-12T23:44:53.056Z", "_buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320690817", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 115048934287, "time": 151, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11778607488" }, { "job": 115048934475, "time": 134, "config": "linux-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11778219217" }, { "job": 115048934316, "time": 98, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "11779593380" }, { "job": 115048934426, "time": 100, "config": "macos-release-arm64", "r": "4.6.1", "check": "NOTE", "artifact": "11779438677" }, { "job": 115047928466, "time": 205, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11778686975" }, { "job": 115048934233, "time": 102, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11778988299" }, { "job": 115048934352, "time": 111, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11778577362" }, { "job": 115048934341, "time": 88, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "11778114112" }, { "job": 115048934410, "time": 102, "config": "windows-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11778653486" } ], "_upstream": "https://github.com/cranhaven/cranhaven.r-universe.dev", "_commit": { "id": "3e0c6a4589fb52b6497bb92ec830db0e9218e48e", "author": "GitHub Action ", "committer": "GitHub Action ", "message": "Add ERP to CRANhaven, because archived on 2026-10-12 08:02:00 +0000\n", "time": 1791792120 }, "_maintainer": { "name": "David Causeur", "email": "david.causeur@agrocampus-ouest.fr", "login": "dcauseur", "description": "", "uuid": 78904645 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.0.0", "role": "Depends" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "corpcor", "role": "Imports" }, { "package": "irlba", "role": "Imports" }, { "package": "fdrtool", "role": "Imports" }, { "package": "splines", "role": "Imports" }, { "package": "mnormt", "role": "Imports" }, { "package": "pacman", "role": "Imports" }, { "package": "prettydoc", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cranhaven", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-42", "n": 1 } ], "_tags": [], "_topics": [ "archived", "packages", "r-universe" ], "_stars": 5, "_contributors": [ { "user": "henrikbengtsson", "count": 183, "uuid": 1616850 } ], "_userbio": { "uuid": 161993010, "type": "organization", "name": "cranhaven", "followers": 3, "description": "CRANhaven - Repository for Recently Archived CRAN Packages" }, "_downloads": { "count": 421, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ERP" }, "_mentions": 16, "_devurl": "https://github.com/cranhaven/cranhaven.r-universe.dev", "_searchresults": 21, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/ERP.html", "extra/manual.pdf" ], "_realowner": "dcauseur", "_cranurl": false, "_releases": [ { "version": "1.0.1", "date": "2014-04-04" }, { "version": "1.1", "date": "2015-12-14" }, { "version": "2.0", "date": "2018-06-26" }, { "version": "2.1", "date": "2018-10-05" }, { "version": "2.2", "date": "2019-12-13" } ], "_exports": [ "emfa", "erpavetest", "erpfatest", "erpFtest", "erpplot", "erptest", "gbtest", "ifa", "isqrtfa", "nbfactors" ], "_datasets": [ { "name": "impulsivity", "title": "Event-Related Potentials data from a study conducted by Shen et al. 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