{ "_id": "6a1f159eb401979e7341e5ed", "Package": "TSE", "Type": "Package", "Title": "Total Survey Error", "Version": "0.1.0", "Authors@R": "c(person(\"Joshua\", \"Miller\", role = c(\"aut\", \"cre\"), email = \"joshlmiller@msn.com\"))", "Maintainer": "Joshua Miller ", "Description": "Calculates total survey error (TSE) for one or more\nsurveys, using common scale-dependent and/or scale-independent\nmetrics. On TSE, see: Weisberg, Herbert (2005,\nISBN:0-226-89128-3); Biemer, Paul (2010)\n.", "Note": "Package TSE works directly from the data set – no hand\ncalculations required. Just upload a properly structured data\nset (see TESTNUMB and its documentation), properly input column\nnames (see examples in the functions documentation), and run\nyour functions.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-17 06:39:12 UTC", "User": "root" }, "Author": "Joshua Miller [aut, cre]", "Repository": "https://joshlmiller1978.r-universe.dev", "Date/Publication": "2019-06-20 08:10:03 UTC", "RemoteUrl": "https://github.com/cran/TSE", "RemoteRef": "HEAD", "RemoteSha": "a0750c93f7e7082a1123682ee39c550bc6c5e0b8", "MD5sum": "7523bb0c43f6d0b47fc42d3d784636aa", "_user": "joshlmiller1978", "_type": "src", "_file": "TSE_0.1.0.tar.gz", "_fileid": "7ee08a8cbf6b5d52e69bc2933c497601f198c73792ed2adadd3292ff34f2ec03", "_filesize": 115313, "_sha256": "7ee08a8cbf6b5d52e69bc2933c497601f198c73792ed2adadd3292ff34f2ec03", "_created": "2026-05-17T06:39:12.000Z", "_published": "2026-06-02T17:40:46.087Z", "_distro": "noble", "_jobs": [ { "job": 79134319754, "time": 108, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7040078255" }, { "job": 79134319726, "time": 103, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7040077769" }, { "job": 79134320233, "time": 61, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7040073498" }, { "job": 79134319789, "time": 100, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7040077506" }, { "job": 79134319269, "time": 151, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7040066584" }, { "job": 79134319001, "time": 96, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7365382556" }, { "job": 79134319865, "time": 61, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7040073293" }, { "job": 79134319712, "time": 60, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7040073232" }, { "job": 79134319827, "time": 61, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7040073335" } ], "_buildurl": "https://github.com/r-universe/joshlmiller1978/actions/runs/25983659069", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/TSE", "_commit": { "id": "a0750c93f7e7082a1123682ee39c550bc6c5e0b8", "author": "Joshua Miller ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1561018203 }, "_maintainer": { "name": "Joshua Miller", "email": "joshlmiller@msn.com", "login": "joshlmiller1978", "description": "", "uuid": 51930692 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "joshlmiller1978", "count": 1, "uuid": 51930692 } ], "_userbio": { "uuid": 51930692, "type": "user", "name": "joshlmiller1978" }, "_downloads": { "count": 182, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/TSE" }, "_mentions": 25, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/TSE.html", "manual.pdf" ], "_realowner": "joshlmiller1978", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2019-06-20" } ], "_exports": [ "AVEMAE", "AVEMAPE", "AVEMSE", "AVEMSLE", "AVERAE", "AVERMSE", "AVERMSLE", "AVERRSE", "AVERSE", "AVESMAPE", "FULLSD", "FULLSI" ], "_datasets": [ { "name": "TESTNUMB", "title": "A data set created by merging four smaller data sets. Three of those smaller data sets are data from three surveys (O1, O2, O3); the other is data from a \"gold standard\" survey (A1). All four smaller data sets consist of the same three variables (Q1, Q2, Q3): responses to the same three questions, asked by each survey from the same 10 respondents (ID), along the same 1-99 response scale.", "object": "TESTNUMB", "class": [ "data.frame" ], "fields": [ "ID", "AQ1", "AQ2", "AQ3", "O1Q1", "O1Q2", "O1Q3", "O2Q1", "O2Q2", "O2Q3", "O3Q1", "O3Q2", "O3Q3" ], "rows": 10, "table": true, "tojson": true } ], "_help": [ { "page": "AVEMAE", "title": "Calculate average mean absolute error (aMAE)", "topics": [ "AVEMAE" ] }, { "page": "AVEMAPE", "title": "Calculate average mean absolute percentage error (aMAPE)", "topics": [ "AVEMAPE" ] }, { "page": "AVEMSE", "title": "Calculate average mean squared error (aMSE) with bias-variance decomposition", "topics": [ "AVEMSE" ] }, { "page": "AVEMSLE", "title": "Calculate average mean squared logarithmic error (aMSLE)", "topics": [ "AVEMSLE" ] }, { "page": "AVERAE", "title": "Calculate average relative absolute error (aRAE)", "topics": [ "AVERAE" ] }, { "page": "AVERMSE", "title": "Calculate average root mean squared error (aRMSE)", "topics": [ "AVERMSE" ] }, { "page": "AVERMSLE", "title": "Calculate average root mean squared logarithmic error (aRMSLE)", "topics": [ "AVERMSLE" ] }, { "page": "AVERRSE", "title": "Calculate average root relative squared error (aRRSE)", "topics": [ "AVERRSE" ] }, { "page": "AVERSE", "title": "Calculate average relative squared error (aRSE)", "topics": [ "AVERSE" ] }, { "page": "AVESMAPE", "title": "Calculate average symmetric mean absolute percentage error (aSMAPE)", "topics": [ "AVESMAPE" ] }, { "page": "FULLSD", "title": "Calculate full scale-dependent statistics", "topics": [ "FULLSD" ] }, { "page": "FULLSI", "title": "Calculate full scale-independent statistics", "topics": [ "FULLSI" ] }, { "page": "TESTNUMB", "title": "A data set created by merging four smaller data sets. 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