{ "_id": "6a1f246fb401979e73420d8c", "Package": "ordinalRR", "Type": "Package", "Title": "Analysis of Repeatability and Reproducibility Studies with\nOrdinal Measurements", "Version": "1.1", "Date": "2020-3-29", "Author": "Ken Ryan ", "Maintainer": "Ken Ryan ", "LazyLoad": "Yes", "Description": "Implements Bayesian data analyses of balanced\nrepeatability and reproducibility studies with ordinal\nmeasurements. Model fitting is based on MCMC posterior sampling\nwith 'rjags'. Function ordinalRR() directly carries out the\nmodel fitting, and this function has the flexibility to allow\nthe user to specify key aspects of the model, e.g., fixed\nversus random effects. Functions for preprocessing data and for\nthe numerical and graphical display of a fitted model are also\nprovided. There are also functions for displaying the model at\nfixed (user-specified) parameters and for simulating a\nhypothetical data set at a fixed (user-specified) set of\nparameters for a random-effects rater population. For\nadditional technical details, refer to Culp, Ryan, Chen, and\nHamada (2018) and cite this Technometrics paper when\nreferencing any aspect of this work. The demo of this package\nreproduces results from the Technometrics paper.", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 06:23:49 UTC", "User": "root" }, "Config/pak/sysreqs": "jags", "Repository": "https://kjryan13.r-universe.dev", "Date/Publication": "2020-03-30 08:00:04 UTC", "RemoteUrl": "https://github.com/cran/ordinalRR", "RemoteRef": "HEAD", "RemoteSha": "b09380b4f953f36f115a5fb8dbe91a7e2020488c", "MD5sum": "913545d4936804ef79b03341d95e05d0", "_user": "kjryan13", "_type": "src", "_file": "ordinalRR_1.1.tar.gz", "_fileid": "ec9972fc00449396beec55050cbfd4f56ae57f69f36546d1ec8864b750b3765c", "_filesize": 136390, "_sha256": "ec9972fc00449396beec55050cbfd4f56ae57f69f36546d1ec8864b750b3765c", "_created": "2026-05-16T06:23:49.000Z", "_published": "2026-06-02T18:43:59.332Z", "_distro": "noble", "_jobs": [ { "job": 79146362967, "time": 110, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7031174874" }, { "job": 79146363115, "time": 102, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7031174221" }, { "job": 79146362918, "time": 168, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7031256758" }, { "job": 79146363067, "time": 116, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7031231249" }, { "job": 79146362694, "time": 157, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7031164143" }, { "job": 79146362437, "time": 91, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7366799868" }, { "job": 79146362861, "time": 71, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7031171221" }, { "job": 79146363365, "time": 67, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7031170843" }, { "job": 79146362995, "time": 63, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7031170502" } ], "_buildurl": "https://github.com/r-universe/kjryan13/actions/runs/25954863695", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/ordinalRR", "_commit": { "id": "b09380b4f953f36f115a5fb8dbe91a7e2020488c", "author": "Ken Ryan ", "committer": "cran-robot ", "message": "version 1.1\n", "time": 1585555204 }, "_maintainer": { "name": "Ken Ryan", "email": "kjryan@mail.wvu.edu", "login": "kjryan13", "orcid": "0000-0002-6547-9273", "uuid": 47856273 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "rjags", "role": "Depends" }, { "package": "graphics", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "kjryan13", "count": 2, "uuid": 47856273 } ], "_userbio": { "uuid": 47856273, "type": "user", "name": "Ken Ryan", "description": "Professor of Statistics at West Virginia University. Hosting selected academic and research-related files for public access at kenryan.net." }, "_downloads": { "count": 182, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ordinalRR" }, "_searchresults": 9, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/ordinalRR.html", "manual.pdf" ], "_realowner": "kjryan13", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2018-03-14" }, { "version": "1.1", "date": "2020-03-30" } ], "_exports": [ "compute.q", "make.rater", "ordinalRR", "ordinalRR.control", "ordinalRR.sim", "preprocess" ], "_datasets": [ { "name": "followup", "title": "Followup data from experiment on soldered joints.", "object": "followup", "file": "followup.rda", "class": [ "data.frame" ], "fields": [ "Yi11", "Yi12", "Yi21", "Yi22", "Yi31", "Yi32" ], "rows": 30, "table": true, "tojson": true } ], "_help": [ { "page": "compute.q", "title": "Compute the probabilities for a single rater at a fixed part quality.", "topics": [ "compute.q" ] }, { "page": "density.ordinalRR", "title": "Plot densities of the latent part distributions.", "topics": [ "density.ordinalRR" ] }, { "page": "followup", "title": "Followup data from experiment on soldered joints.", "topics": [ "followup" ] }, { "page": "hist.ordinalRR", "title": "Histogram for the latent part distributions from a Bayesian ordinal R&R analysis.", "topics": [ "hist.ordinalRR" ] }, { "page": "make.rater", "title": "Format the parameters for a single rater.", "topics": [ "make.rater" ] }, { "page": "ordinalRR", "title": "Fit a Bayesian ordinal R&R model using JAGS.", "topics": [ "ordinalRR" ] }, { "page": "ordinalRR.control", "title": "Set control parameters for a Bayesian ordinal R&R model.", "topics": [ "ordinalRR.control" ] }, { "page": "ordinalRR.sim", "title": "Simulate an ordinal R&R data set.", "topics": [ "ordinalRR.sim" ] }, { "page": "preprocess", "title": "Format an ordinal R&R data frame into object required by function ordinalRR.", "topics": [ "preprocess" ] }, { "page": "print.ordinalRR", "title": "Print function for an object of class ordinalRR.", "topics": [ "print.ordinalRR" ] }, { "page": "summary.ordinalRR", "title": "Summarize an object of class ordinalRR.", "topics": [ "summary.ordinalRR" ] } ], "_rundeps": [ "coda", "lattice", "rjags" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2404.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler. 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