{ "_id": "6a27f68724555f66ed54d83f", "Package": "easyRasch2", "Title": "Psychometric Analysis with Rasch Measurement Theory", "Version": "0.8.0", "Authors@R": "c(\nperson(\"Magnus\", \"Johansson\",\nrole = c(\"aut\", \"cre\"),\nemail = \"pgmj@pm.me\",\ncomment = c(ORCID = \"0000-0003-1669-592X\")),\nperson(\"Nicklas\", \"Korsell\",\nrole = \"ctb\",\ncomment = \"PCM simulation code\"),\nperson(\"Mirka\", \"Henninger\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4676-2361\",\n\"MH / partial-gamma effect-size and ETS-classification algorithms in dif_tree.R, adapted under MIT licence from the raschtreeMH and effecttree packages\")),\nperson(\"Jan\", \"Radek\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0009-0003-8842-9206\",\n\"partial-gamma effect-size and ETS-classification algorithms in dif_tree.R, adapted under MIT licence from the effecttree package\")))", "Description": "Streamlines reproducible Rasch measurement theory analyses\nfor ordinal item-response data, combining estimation routines\nfrom 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with\nconsistent diagnostic, plotting, and reporting layers. Covers\nthe four basic psychometric criteria summarised by Christensen\net al. (2021) -- unidimensionality,\nlocal independence, ordered response category thresholds, and\ninvariance across subgroups -- together with item fit,\ntargeting, reliability, category functioning, and descriptive\nitem-response plots. A distinguishing feature is the use of\nsimulation-based critical values to replace rule-of-thumb\ncutoffs for conditional infit mean-square, Yen's Q3\nlocal-dependence statistic, the largest residual-PCA\neigenvalue, and ordinal CFA fit indices. Outputs are\nknitr::kable() tables and 'ggplot2' figures suitable for direct\ninclusion in 'Quarto' and 'R Markdown' reports.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "URL": "https://github.com/pgmj/easyRasch2,\nhttps://pgmj.github.io/easyRasch2/", "BugReports": "https://github.com/pgmj/easyRasch2/issues", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libuv1-dev libx11-dev", "Repository": "https://pgmj.r-universe.dev", "Date/Publication": "2026-06-08 19:35:35 UTC", "RemoteUrl": "https://github.com/pgmj/easyrasch2", "RemoteRef": "HEAD", "RemoteSha": "0a8e2e816ef2163fca81d9f42278e25ae78e7d88", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-09 11:11:05 UTC", "User": "root" }, "Author": "Magnus Johansson [aut, cre] (ORCID:\n),\nNicklas Korsell [ctb] (PCM simulation code),\nMirka Henninger [ctb] (ORCID: ,\nMH / partial-gamma effect-size and ETS-classification algorithms in\ndif_tree.R, adapted under MIT licence from the raschtreeMH and\neffecttree packages),\nJan Radek [ctb] (ORCID: ,\npartial-gamma effect-size and ETS-classification algorithms in\ndif_tree.R, adapted under MIT licence from the effecttree package)", "Maintainer": "Magnus Johansson ", "MD5sum": "122dcf3a89848277e5fed492ebaf306c", "_user": "pgmj", "_type": "src", "_file": "easyRasch2_0.8.0.tar.gz", "_fileid": "094940154a054f26469c2caee521d565da5d68d6846ecd6f40d91662b78fd488", "_filesize": 2533297, "_sha256": "094940154a054f26469c2caee521d565da5d68d6846ecd6f40d91662b78fd488", "_created": "2026-06-09T11:11:05.000Z", "_published": "2026-06-09T11:18:31.163Z", "_distro": "noble", "_jobs": [ { "job": 80308720530, "time": 326, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7506032364" }, { "job": 80308720510, "time": 328, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7506032742" }, { "job": 80308720494, "time": 149, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7505996343" }, { "job": 80308720556, "time": 188, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7506059041" }, { "job": 80307919739, "time": 274, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7505919719" }, { "job": 80308720506, "time": 191, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7505985798" }, { "job": 80308720522, "time": 335, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7506035156" }, { "job": 80308720533, "time": 259, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7506009522" }, { "job": 80308720578, "time": 301, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7506023387" } ], "_buildurl": "https://github.com/r-universe/pgmj/actions/runs/27201938943", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/pgmj/easyrasch2", "_commit": { "id": "0a8e2e816ef2163fca81d9f42278e25ae78e7d88", "author": "Magnus Johansson ", "committer": "Magnus Johansson ", "message": "corrected reference\n", "time": 1780947335 }, "_maintainer": { "name": "Magnus Johansson", "email": "pgmj@pm.me", "login": "pgmj", "mastodon": "@pgmj@scicomm.xyz", "bluesky": "@pgmj.bsky.social", "orcid": "0000-0003-1669-592X", "description": "I'm a psychologist and scientist at Karolinska Institutet. 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