{ "_id": "6aae614a3d719c1f8407c0ad", "Package": "PResiduals", "Type": "Package", "Title": "Probability-Scale Residuals and Residual Correlations", "Version": "1.0-2", "Authors@R": "c(person(given = \"Charles\",\nfamily = \"Dupont\",\nrole = \"aut\"),\nperson(given = \"Jeffrey\",\nfamily = \"Horner\",\nrole = \"aut\"),\nperson(given = \"Chun\",\nfamily = \"Li\",\nrole = c(\"aut\", \"cre\"),\nemail = \"cli77199@usc.edu\"),\nperson(given = \"Qi\",\nfamily = \"Liu\",\nrole = \"aut\"),\nperson(given = \"Bryan\",\nfamily = \"Shepherd\",\nrole = \"aut\"))", "Maintainer": "Chun Li ", "Description": "Computes probability-scale residuals and residual\ncorrelations for continuous, ordinal, binary, count, and\ntime-to-event data Qi Liu, Bryan Shepherd, Chun Li (2020)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "Collate": "'GKGamma.R' 'PResidData.R' 'PResiduals-package.R' 'pgumbel.R'\n'diagn.R' 'newPolr.R' 'cobot.R' 'cocobot.R' 'condis.R'\n'conditional_Spearman.R' 'corTS.R' 'corr.R' 'countbot.R'\n'getCI.R' 'kernel.function.R' 'lm.scores.R' 'megabot.R'\n'nb.scores.R' 'orm.scores.R' 'partial_Spearman.R'\n'plot.conditional_Spearman.R' 'poisson.scores.R' 'presid.R'\n'print.cobot.R' 'print.cocobot.R'\n'print.conditional_Spearman.R' 'print.partial_Spearman.R'", "NeedsCompilation": "no", "RoxygenNote": "7.3.3", "Packaged": { "Date": "2026-09-19 10:14:09 UTC", "User": "root" }, "Author": "Charles Dupont [aut], Jeffrey Horner [aut], Chun Li [aut, cre],\nQi Liu [aut], Bryan Shepherd [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-12-15 20:20:02 UTC", "RemoteUrl": "https://github.com/cran/PResiduals", "RemoteRef": "HEAD", "RemoteSha": "3b1da248569db8fef141c34441e67431143150cf", "_user": "cran", "_type": "src", "_file": "PResiduals_1.0-2.tar.gz", "_fileid": "https://r2.ropensci.org/7ddaa9fcf79b025e1c9ad957229a1eb6d0563894dd56a917cad6bb3fef7613d0", "_filesize": 245841, "_sha256": "7ddaa9fcf79b025e1c9ad957229a1eb6d0563894dd56a917cad6bb3fef7613d0", "_expires": "2026-12-28T10:17:40.000Z", "_created": "2026-09-19T10:14:09.000Z", "_published": "2026-09-19T10:17:46.082Z", "_jobs": [ { "job": 105880901841, "time": 165, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10582596299" }, { "job": 105880901826, "time": 163, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10583255017" }, { "job": 105880470741, "time": 217, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10582441276" }, { "job": 105880901834, "time": 141, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10582696225" }, { "job": 105880901824, "time": 116, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10582591249" }, { "job": 105880901845, "time": 104, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10582596234" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/cran/actions/runs/35436681326", "_status": "success", "_upstream": "https://github.com/cran/PResiduals", "_commit": { "id": "3b1da248569db8fef141c34441e67431143150cf", "author": "Chun Li ", "committer": "cran-robot ", "message": "version 1.0-2\n", "time": 1765830002 }, "_maintainer": { "name": "Chun Li", "email": "cli77199@usc.edu" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "MASS", "role": "Imports" }, { "package": "Formula", "role": "Imports" }, { "package": "rms", "role": "Imports" }, { "package": "SparseM", "role": "Imports" }, { "package": "survival", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-51", "n": 1 } ], "_tags": [ { "name": "1.0-2", "date": "2025-12-15" } ], "_stars": 2, "_contributors": [ { "user": "shepheb1", "count": 5, "uuid": 8506619 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 630, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 301, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PResiduals" }, "_mentions": 5, "_searchresults": 76, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/PResiduals.html" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1-0", "date": "2013-03-14" }, { "version": "0.2-0", "date": "2014-08-22" }, { "version": "0.2-1", "date": "2015-03-03" }, { "version": "0.2-2", "date": "2015-07-23" }, { "version": "0.2-3", "date": "2016-05-12" }, { "version": "0.2-4", "date": "2016-06-30" }, { "version": "0.2-5", "date": "2017-10-06" }, { "version": "0.2-6", "date": "2018-11-12" }, { "version": "1.0-0", "date": "2020-09-01" }, { "version": "1.0-1", "date": "2021-06-24" }, { "version": "1.0-2", "date": "2025-12-15" } ], "_exports": [ "cobot", "cocobot", "conditional_Spearman", "countbot", "diagn", "GKGamma", "megabot", "partial_Spearman", "presid" ], "_datasets": [ { "name": "PResidData", "title": "Example Dataset for PResiduals Package", "object": "PResidData", "class": [ "data.frame" ], "fields": [ "x", "y", "z", "w", "c" ], "rows": 200, "table": true, "tojson": true } ], "_help": [ { "page": "PResiduals-package", "title": "Computes probability-scale residuals and residual correlations.", "topics": [ "PResiduals-package", "PResiduals" ] }, { "page": "cobot", "title": "Conditional ordinal by ordinal tests for association.", "topics": [ "cobot" ] }, { "page": "cocobot", "title": "Conditional continuous by ordinal tests for association.", "topics": [ "cocobot" ] }, { "page": "conditional_Spearman", "title": "Conditional Partial Spearman's Rank Correlation", "topics": [ "conditional_Spearman" ] }, { "page": "corr", "title": "Calculates the weighted correlation given a data set and a set of weights.", "topics": [ "corr" ] }, { "page": "countbot", "title": "Conditional count by ordinal tests for association.", "topics": [ "countbot" ] }, { "page": "diagn", "title": "Extract or construct a diagonal matrix.", "topics": [ "diagn" ] }, { "page": "GKGamma", "title": "Goodman-Kruskal's gamma", "topics": [ "GKGamma" ] }, { "page": "kernel.function", "title": "kernel.function", "topics": [ "kernel.function" ] }, { "page": "megabot", "title": "Conditional tests for association.", "topics": [ "megabot" ] }, { "page": "newpolr", "title": "slightly modified version of polr from MASS", "topics": [ "newpolr" ] }, { "page": "partial_Spearman", "title": "Partial Spearman's Rank Correlation", "topics": [ "partial_Spearman" ] }, { "page": "plot.conditional_Spearman", "title": "conditional_Spearman class plot method", "topics": [ "plot.conditional_Spearman" ] }, { "page": "presid", "title": "Probability-scale residual", "topics": [ "presid" ] }, { "page": "PResidData", "title": "Example Dataset for PResiduals Package", "topics": [ "PResidData" ] }, { "page": "print.cobot", "title": "cobot class print method", "topics": [ "print.cobot" ] }, { "page": "print.cocobot", "title": "cocobot class print method", "topics": [ "print.cocobot" ] }, { "page": "print.conditional_Spearman", "title": "conditional_Spearman class print method", "topics": [ "print.conditional_Spearman" ] }, { "page": "print.partial_Spearman", "title": "partial_Spearman class print method", "topics": [ "print.partial_Spearman" ] } ], "_rundeps": [ "backports", "base64enc", "bslib", "cachem", "checkmate", "cli", "cluster", "codetools", "colorspace", "cpp11", "data.table", "digest", "evaluate", "farver", "fastmap", "fontawesome", "foreign", "Formula", "fs", "ggplot2", "glue", "gridExtra", "gtable", "highr", "Hmisc", "htmlTable", "htmltools", "htmlwidgets", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "lattice", "lifecycle", "magrittr", "MASS", "Matrix", "MatrixModels", "memoise", "mime", "multcomp", "mvtnorm", "nlme", "nnet", "polspline", "quantreg", "R6", "rappdirs", "RColorBrewer", "rlang", "rmarkdown", "rms", "rpart", "rstudioapi", "S7", "sandwich", "sass", "scales", "SparseM", "stringi", "stringr", "survival", "TH.data", "tinytex", "vctrs", "viridisLite", "withr", "xfun", "yaml", "zoo" ], "_score": 2.8808135922807914, "_indexed": true, "_nocasepkg": "presiduals", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0-2", "date": "2026-09-19T10:16:30.000Z", "distro": "resolute", "commit": "3b1da248569db8fef141c34441e67431143150cf", "fileid": "https://r2.ropensci.org/267343b43592396e657d9a46ba61acb3e181024f18228783a69236553c311ae7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35436681326" }, { "r": "4.6.1", "os": "linux", "version": "1.0-2", "date": "2026-09-19T10:16:33.000Z", "distro": "resolute", "commit": "3b1da248569db8fef141c34441e67431143150cf", "fileid": "https://r2.ropensci.org/6dd90c10e723d9ac1da3ecae020de7250b341f43f9765c0beb978ae441a9cbd5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35436681326" }, { "r": "4.6.0", "os": "wasm", "version": "1.0-2", "date": "2026-09-19T10:16:56.000Z", "commit": "3b1da248569db8fef141c34441e67431143150cf", "fileid": "https://r2.ropensci.org/1ece62ed81a483c3de55ca3a98eaada3f03ce1fff18b9069a74631fa45a38d6c", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/35436681326" }, { "r": "4.7.0", "os": "win", "version": "1.0-2", "date": "2026-09-19T10:15:36.000Z", "commit": "3b1da248569db8fef141c34441e67431143150cf", "fileid": "https://r2.ropensci.org/bb4143d74226e7819c9f9a72a0a3345a3de928da20fc4ea550aeb0281f29d982", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35436681326" }, { "r": "4.6.1", "os": "win", "version": "1.0-2", "date": "2026-09-19T10:15:25.000Z", "commit": "3b1da248569db8fef141c34441e67431143150cf", "fileid": "https://r2.ropensci.org/a3762f45d22c15b07968212a6a76ae2e44e4d9432734832eb65991f3e1f57250", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35436681326" } ] }