{ "_id": "6ac618ebf511ae58c09a60e5", "Package": "easyRasch2", "Title": "Psychometric Analysis with Rasch Measurement Theory", "Version": "1.4.0", "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, item-rest-score\ngamma, Yen's Q3 local-dependence statistic, the largest\nresidual-PCA eigenvalue, ordinal CFA fit indices, and\npartial-gamma DIF and local-dependence coefficients, optionally\naugmented with multiplicity-corrected bootstrap p-values.\nOutputs are knitr::kable() tables and 'ggplot2' figures\nsuitable for direct inclusion in 'Quarto' and 'R Markdown'\nreports.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "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/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "cmake make libuv1-dev libx11-dev", "Repository": "https://pgmj.r-universe.dev", "Date/Publication": "2026-10-06 10:49:51 UTC", "RemoteUrl": "https://github.com/pgmj/easyrasch2", "RemoteRef": "HEAD", "RemoteSha": "b45f3a39d9be7a3a6a2bfe9e62708353c6bf9440", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-07 08:52:39 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 ", "_user": "pgmj", "_type": "src", "_file": "easyRasch2_1.4.0.tar.gz", "_fileid": "https://r2.ropensci.org/ff5e96867b735cc129c0a6156bff78b527ef49ad81fb8c94f987745b03d03fc6", "_filesize": 3738590, "_sha256": "ff5e96867b735cc129c0a6156bff78b527ef49ad81fb8c94f987745b03d03fc6", "_expires": "2027-01-15T10:03:21.000Z", "_created": "2026-10-07T08:52:39.000Z", "_published": "2026-10-07T10:03:23.765Z", "_buildurl": "https://github.com/r-universe/pgmj/actions/runs/37594550601", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 112711247334, "time": 253, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11472171358" }, { "job": 112711247517, "time": 252, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11471248238" }, { "job": 112711247466, "time": 201, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11474540982" }, { "job": 112711247429, "time": 132, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11474565632" }, { "job": 112706471642, "time": 293, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11471295287" }, { "job": 112711247238, "time": 157, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11471163040" }, { "job": 112711247465, "time": 293, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11470953583" }, { "job": 112711247414, "time": 207, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11471256122" }, { "job": 112711247372, "time": 204, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11470264996" } ], "_upstream": "https://github.com/pgmj/easyrasch2", "_commit": { "id": "b45f3a39d9be7a3a6a2bfe9e62708353c6bf9440", "author": "Magnus Johansson ", "committer": "Magnus Johansson ", "message": "v1.4.0 on CRAN\n", "time": 1791283791 }, "_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 PhD psychologist and research specialist at Karolinska Institutet. 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