{ "_id": "6a102a10acfb0bcc41c91bc8", "Package": "rigr", "Title": "Regression, Inference, and General Data Analysis Tools in R", "Version": "1.0.9", "Authors@R": "c(person(\"Amy D\", \"Willis\", email = \"adwillis@uw.edu\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-2802-4317\")),\nperson(\"Taylor\", \"Okonek\", role = \"aut\"),\nperson(\"Charles J\", \"Wolock\", role = \"aut\"),\nperson(\"Brian D\", \"Williamson\", role = \"aut\"),\nperson(\"Scott S\", \"Emerson\", role = \"aut\"),\nperson(\"Andrew J\", \"Spieker\", role = \"aut\"),\nperson(\"Yiqun T\", \"Chen\", role = \"aut\"),\nperson(\"Travis Y Hee\", \"Wai\", role = \"ctb\"),\nperson(\"James P\", \"Hughes\", role = \"ctb\"),\nperson(\"R Core Team\", role = \"ctb\"),\nperson(\"Akhil S\", \"Bhel\", role = \"ctb\"),\nperson(\"Thomas\", \"Lumley\", role = \"ctb\"))", "Description": "A set of tools to streamline data analysis. Learning both\nR and introductory statistics at the same time can be\nchallenging, and so we created 'rigr' to facilitate common data\nanalysis tasks and enable learners to focus on statistical\nconcepts. We provide easy-to-use interfaces for descriptive\nstatistics, one- and two-sample inference, and regression\nanalyses. 'rigr' output includes key information while omitting\nunnecessary details that can be confusing to beginners.\nHeteroscedasticity-robust (\"sandwich\") standard errors are\nreturned by default, and multiple partial F-tests and tests for\ncontrasts are easy to specify. A single regression function can\nfit both linear and generalized linear models, allowing\nstudents to more easily make connections between different\nclasses of models.", "License": "MIT + file LICENSE", "BugReports": "https://github.com/statdivlab/rigr/issues/", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Config/testthat/edition": "3", "LazyData": "true", "URL": "https://statdivlab.github.io/rigr/", "Repository": "https://statdivlab.r-universe.dev", "Date/Publication": "2026-04-02 18:27:27 UTC", "RemoteUrl": "https://github.com/statdivlab/rigr", "RemoteRef": "HEAD", "RemoteSha": "1c3e2ff033566a17e175efd180d085ef432baac9", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-22 10:00:38 UTC", "User": "root" }, "Author": "Amy D Willis [aut, cre] (ORCID:\n),\nTaylor Okonek [aut],\nCharles J Wolock [aut],\nBrian D Williamson [aut],\nScott S Emerson [aut],\nAndrew J Spieker [aut],\nYiqun T Chen [aut],\nTravis Y Hee Wai [ctb],\nJames P Hughes [ctb],\nR Core Team [ctb],\nAkhil S Bhel [ctb],\nThomas Lumley [ctb]", "Maintainer": "Amy D Willis ", "MD5sum": "9a95637b719938c7872dafe8bcd0eadd", "_user": "statdivlab", "_type": "src", "_file": "rigr_1.0.9.tar.gz", "_fileid": "cddc65df7685bebbc7173a665c2286d843b965cb9a9bb9bd6007e25afa2887c6", "_filesize": 902545, "_sha256": "cddc65df7685bebbc7173a665c2286d843b965cb9a9bb9bd6007e25afa2887c6", "_created": "2026-05-22T10:00:38.000Z", "_published": "2026-05-22T10:04:00.280Z", "_distro": "noble", "_jobs": [ { "job": 77357990304, "time": 156, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7157907579" }, { "job": 77357990658, "time": 163, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7157909607" }, { "job": 77357990358, "time": 130, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7157900036" }, { "job": 77357990311, "time": 109, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7157893054" }, { "job": 77357467185, "time": 202, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7157857567" }, { "job": 77357990273, "time": 123, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7157897326" }, { "job": 77357990295, "time": 149, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7157904904" }, { "job": 77357990332, "time": 102, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7157890786" }, { "job": 77357990340, "time": 111, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7157893723" } ], "_buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/statdivlab/rigr", "_commit": { "id": "1c3e2ff033566a17e175efd180d085ef432baac9", "author": "AmyW ", "committer": "GitHub ", "message": "Bump version from 1.0.8 to 1.0.9\n\nreflect wilcoxon fix", "time": 1775154447 }, "_maintainer": { "name": "Amy D Willis", "email": "adwillis@uw.edu", "login": "adw96", "twitter": "@AmyDWillis", "description": "statistician, biodiversity enthusiast, associate professor", "uuid": 17593682, "orcid": "0000-0002-2802-4317" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "sandwich", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "car", "role": "Suggests" } ], "_owner": "statdivlab", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-21", "n": 1 }, { "week": "2025-36", "n": 1 }, { "week": "2025-40", "n": 1 }, { "week": "2026-11", "n": 1 }, { "week": "2026-14", "n": 2 } ], "_tags": [], "_topics": [ "regression", "statistics" ], "_stars": 10, "_contributors": [ { "user": "cwolock", "count": 139, "uuid": 24723547 }, { "user": "taylorokonek", "count": 95, "uuid": 43622297 }, { "user": "yiqunchen", "count": 80, "uuid": 8177455 }, { "user": "adw96", "count": 40, "uuid": 17593682 }, { "user": "gthopkins", "count": 10, "uuid": 54715703 }, { "user": "bdwilliamson", "count": 8, "uuid": 13205756 }, { "user": "ameerd", "count": 5, "uuid": 36680113 }, { "user": "sminot", "count": 3, "uuid": 5215560 }, { "user": "bpark67", "count": 1, "uuid": 51451194 } ], "_userbio": { "uuid": 42418432, "type": "organization", "name": "Statistical Diversity Lab", "description": "The StatDivLab develops rigorous statistical methods to analyze microbiome and biodiversity data" }, "_downloads": { "count": 977, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/rigr" }, "_devurl": "https://github.com/statdivlab/rigr", "_pkgdown": "https://statdivlab.github.io/rigr/", "_searchresults": 51, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/readme.html", "extra/readme.md", "extra/rigr.html", "manual.pdf" ], "_homeurl": "https://github.com/statdivlab/rigr", "_realowner": "statdivlab", "_cranurl": true, "_releases": [ { "version": "1.0.1", "date": "2021-09-15" }, { "version": "1.0.3", "date": "2022-06-08" }, { "version": "1.0.4", "date": "2022-09-06" }, { "version": "1.0.7", "date": "2025-04-18" }, { "version": "1.0.8", "date": "2025-09-02" }, { "version": "1.0.9", "date": "2026-04-03" } ], "_exports": [ "descrip", "dummy", "lincom", "polynomial", "proptest", "proptesti", "regress", "ttest", "ttesti", "U", "wilcoxon" ], "_datasets": [ { "name": "fev", "title": "FEV dataset", "object": "fev", "class": [ "data.frame" ], "fields": [ "seqnbr", "subjid", "age", "fev", "height", "sex", "smoke" ], "rows": 654, "table": true, "tojson": true }, { "name": "mri", "title": "MRI dataset", "object": "mri", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "ptid", "mridate", "age", "sex", "race", "weight", "height", "packyrs", "yrsquit", "alcoh", "physact", "chf", "chd", "stroke", "diabetes", "genhlth", "ldl", "alb", "crt", "plt", "sbp", "aai", "fev", "dsst", "atrophy", "whgrd", "numinf", "volinf", "obstime", "death" ], "rows": 735, "table": true, "tojson": true }, { "name": "psa", "title": "PSA dataset", "object": "psa", "class": [ "data.frame" ], "fields": [ "ptid", "nadirpsa", "pretxpsa", "ps", "bss", "grade", "age", "obstime", "inrem" ], "rows": 50, "table": true, "tojson": true }, { "name": "salary", "title": "Salary dataset", "object": "salary", "class": [ "data.frame" ], "fields": [ "case", "id", "sex", "deg", "yrdeg", "field", "startyr", "year", "rank", "admin", "salary" ], "rows": 19792, "table": true, "tojson": true } ], "_help": [ { "page": "rigr-package", "title": "Regression, Inference, and General Data Analysis Tools in R", "topics": [ "rigr-package", "rigr" ] }, { "page": "anova.uRegress", "title": "ANOVA", "topics": [ "anova.uRegress" ] }, { "page": "cooks.distance.uRegress", "title": "Calculate Cook's distances from 'uRegress' objects", "topics": [ "cooks.distance.uRegress" ] }, { "page": "descrip", "title": "Descriptive Statistics", "topics": [ "descrip", "print.uDescriptives" ] }, { "page": "dfbeta.uRegress", "title": "Calculate dfbeta from 'uRegress' objects", "topics": [ "dfbeta", "dfbeta.uRegress" ] }, { "page": "dfbetas.uRegress", "title": "Calculate dfbetas from 'uRegress' objects", "topics": [ "dfbetas.uRegress" ] }, { "page": "dummy", "title": "Create Dummy Variables", "topics": [ "dummy" ] }, { "page": "fev", "title": "FEV dataset", "topics": [ "fev" ] }, { "page": "hatvalues.uRegress", "title": "Calculate the hat-values (leverages) from 'uRegress' objects", "topics": [ "hatvalues.uRegress" ] }, { "page": "lincom", "title": "Tests of Linear Combinations of Regression Coefficients", "topics": [ "lincom", "lincom.do", "print.lincom" ] }, { "page": "mri", "title": "MRI dataset", "topics": [ "mri" ] }, { "page": "polynomial", "title": "Create Polynomials", "topics": [ "polynomial" ] }, { "page": "predict.uRegress", "title": "Prediction Intervals for 'uRegress' objects", "topics": [ "predict", "predict.uRegress" ] }, { "page": "proptest", "title": "Test of proportions with improved layout", "topics": [ "plot.proptest", "print.proptest", "proptest", "proptest.default", "proptest.do" ] }, { "page": "proptesti", "title": "Test of proportions from summary statistics", "topics": [ "print.proptesti", "proptesti", "proptesti.default", "proptesti.do" ] }, { "page": "psa", "title": "PSA dataset", "topics": [ "psa" ] }, { "page": "regress", "title": "General Regression for an Arbitrary Functional", "topics": [ "fitted.uRegress", "print.augCoefficients", "print.uRegress", "regress", "uLRtest", "uWaldtest" ] }, { "page": "residuals.uRegress", "title": "Extract Residuals from 'uRegress' objects", "topics": [ "residuals", "residuals.uRegress" ] }, { "page": "rstandard.uRegress", "title": "Extract standardized residuals from 'uRegress' objects", "topics": [ "rstandard.uRegress" ] }, { "page": "rstudent.uRegress", "title": "Extract Studentized residuals from 'uRegress' objects", "topics": [ "rstudent.uRegress" ] }, { "page": "salary", "title": "Salary dataset", "topics": [ "salary" ] }, { "page": "ttest", "title": "T-test with Improved Layout", "topics": [ "print.ttest", "ttest", "ttest.default", "ttest.do" ] }, { "page": "ttesti", "title": "T-test Given Summary Statistics with Improved Layout", "topics": [ "print.ttesti", "ttesti", "ttesti.default", "ttesti.do" ] }, { "page": "U", "title": "Create a Partial Formula", "topics": [ "U" ] }, { "page": "wilcoxon", "title": "Wilcoxon Signed Rank and Mann-Whitney-Wilcoxon Rank Sum Test", "topics": [ "print.wilcoxon", "wilcoxon", "wilcoxon.default", "wilcoxon.do" ] } ], "_readme": "https://github.com/statdivlab/rigr/raw/HEAD/README.md", "_rundeps": [ "lattice", "Matrix", "sandwich", "survival", "zoo" ], "_vignettes": [ { "source": "descrip_intro.Rmd", "filename": "descrip_intro.html", "title": "Descriptive statistics in rigr", "author": "Taylor Okonek", "engine": "knitr::rmarkdown", "headings": [ "Descriptive statistics with descrip", "Descriptive statistics for strata", "Descriptive statistics for subsets", "Above/Below" ], "created": "2021-08-30 21:39:59", "modified": "2021-09-09 16:57:54", "commits": 3 }, { "source": "one_and_two_sample_inference.Rmd", "filename": "one_and_two_sample_inference.html", "title": "One- and two-sample inference in rigr", "author": "Charles Wolock, Brian D. Williamson, and Scott S. Emerson", "engine": "knitr::rmarkdown", "headings": [ "One and two-sample inference", "t-tests", "Tests of proportions", "Wilcoxon and Mann-Whitney" ], "created": "2021-09-05 05:55:27", "modified": "2021-09-09 17:07:24", "commits": 6 }, { "source": "regress_intro.Rmd", "filename": "regress_intro.html", "title": "Regression in rigr", "author": "Taylor Okonek, Brian D. Williamson, Yiqun T. Chen, and Amy D. Willis", "engine": "knitr::rmarkdown", "headings": [ "fnctl: the functional", "formula and data", "Linear Regression", "Generalized Linear Regression", "Logistic Regression", "Poisson Regression", "Proportional Hazards Regression", "Regression on the Geometric Mean", "Re-parameterizations of a Variable", "Specifying the reference group with dummy", "Polynomial regression", "User-specified multiple partial F-tests", "Testing contrasts: hypotheses about linear combinations of regression coefficients" ], "created": "2021-04-06 23:45:51", "modified": "2022-09-05 18:58:27", "commits": 13 } ], "_score": 7.48572142648158, "_indexed": true, "_nocasepkg": "rigr", "_universes": [ "statdivlab", "adw96" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.9", "date": "2026-05-22T10:03:01.000Z", "distro": "noble", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "c51118a1f40386d1c761b6e915cc8b992760bc2e19793149ec7244acf24615d6", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.6.0", "os": "linux", "version": "1.0.9", "date": "2026-05-22T10:03:13.000Z", "distro": "noble", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "b26ff75c4a1e5f8569b806bf1cf000002e29175f69d45346e0c926bc1b4210f0", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.5.3", "os": "mac", "version": "1.0.9", "date": "2026-05-22T10:02:45.000Z", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "6d26a65c3685c0c81ae0a4db1b9e22e17e479b05cfe58c213c3656709ac9751b", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.6.0", "os": "mac", "version": "1.0.9", "date": "2026-05-22T10:02:25.000Z", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "73f5f115f6a4fdabb9c0d8bc42671bbd3bbaed2b8f4f97f1553d212cb9b9d603", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.9", "date": "2026-05-22T10:03:03.000Z", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "5213bc30601a4cec031a50e8f6563ae59cdef25f0107237dc22e10eddc304c7f", "status": "success", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.7.0", "os": "win", "version": "1.0.9", "date": "2026-05-22T10:02:36.000Z", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "ff6b401f65ea228807a037fff0501497eb6ec817619154814e4fb2acfa0cc0f0", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.5.3", "os": "win", "version": "1.0.9", "date": "2026-05-22T10:01:56.000Z", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "5bfb2da35142fe339a77349e639ee3d05480938a1bc425c997d4bfa676021088", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" }, { "r": "4.6.0", "os": "win", "version": "1.0.9", "date": "2026-05-22T10:02:04.000Z", "commit": "1c3e2ff033566a17e175efd180d085ef432baac9", "fileid": "e8c8d8f30742b71a3e6b6bb6adfd1d498ce83bf0b9b27480cabcc62a479e5a29", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/statdivlab/actions/runs/26281167329" } ] }