{
  "_id": "6a33985a3efcd9bda43a39eb",
  "Package": "JWileymisc",
  "Title": "Miscellaneous Utilities and Functions",
  "Version": "1.4.5",
  "Authors@R": "person(given = \"Joshua F.\",\nfamily = \"Wiley\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jwiley.psych@gmail.com\",\ncomment = c(ORCID = \"0000-0002-0271-6702\"))",
  "URL": "https://joshuawiley.com/JWileymisc/,\nhttps://github.com/JWiley/JWileymisc",
  "BugReports": "https://github.com/JWiley/JWileymisc/issues",
  "Description": "Miscellaneous tools and functions, including: generate\ndescriptive statistics tables, format output, visualize\nrelations among variables or check distributions, and generic\nfunctions for residual and model diagnostics.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Config/roxygen2/version": "8.0.0",
  "Config/pak/sysreqs": "cmake make libicu-dev libx11-dev zlib1g-dev",
  "Repository": "https://jwiley.r-universe.dev",
  "Date/Publication": "2026-06-18 02:23:03 UTC",
  "RemoteUrl": "https://github.com/jwiley/jwileymisc",
  "RemoteRef": "HEAD",
  "RemoteSha": "790debd374154c3bc04da87c866eb38663c3ed4e",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-18 06:48:03 UTC",
    "User": "root"
  },
  "Author": "Joshua F. Wiley [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-0271-6702>)",
  "Maintainer": "Joshua F. Wiley <jwiley.psych@gmail.com>",
  "MD5sum": "e1a5ef982eaa8aa36cd0912f53099d90",
  "_user": "jwiley",
  "_type": "src",
  "_file": "JWileymisc_1.4.5.tar.gz",
  "_fileid": "71bc2a006f976cad5e101e5e1cd98b5807b969ad8076a27886f39192540cb3c4",
  "_filesize": 1681412,
  "_sha256": "71bc2a006f976cad5e101e5e1cd98b5807b969ad8076a27886f39192540cb3c4",
  "_created": "2026-06-18T06:48:03.000Z",
  "_published": "2026-06-18T07:03:54.696Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 82071141107,
      "time": 241,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7716165655"
    },
    {
      "job": 82071141075,
      "time": 250,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7716168054"
    },
    {
      "job": 82071141081,
      "time": 159,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7716309068"
    },
    {
      "job": 82071141085,
      "time": 191,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7716351602"
    },
    {
      "job": 82070477815,
      "time": 278,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7716093695"
    },
    {
      "job": 82071141066,
      "time": 144,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7716138692"
    },
    {
      "job": 82071141092,
      "time": 185,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7716150225"
    },
    {
      "job": 82071141087,
      "time": 191,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7716151213"
    },
    {
      "job": 82071141074,
      "time": 185,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7716150918"
    }
  ],
  "_buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/jwiley/jwileymisc",
  "_commit": {
    "id": "790debd374154c3bc04da87c866eb38663c3ed4e",
    "author": "Joshua F. Wiley <jwiley.psych@gmail.com>",
    "committer": "Joshua F. Wiley <jwiley.psych@gmail.com>",
    "message": "try to fix codecov upload and test on old R\n",
    "time": 1781749383
  },
  "_maintainer": {
    "name": "Joshua F. Wiley",
    "email": "jwiley.psych@gmail.com",
    "login": "jwiley",
    "twitter": "@WileyResearch",
    "description": "I am a lecturer in the Turner Institute for Brain and Mental Health and School of Psychological Sciences at Monash University",
    "uuid": 322716,
    "orcid": "0000-0002-0271-6702"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "multcompView",
      "role": "Imports"
    },
    {
      "package": "emmeans",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "version": ">= 1.18.0",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "grid",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 4.0.0",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "ggpubr",
      "role": "Imports"
    },
    {
      "package": "mgcv",
      "role": "Imports"
    },
    {
      "package": "mice",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "psych",
      "role": "Imports"
    },
    {
      "package": "robustbase",
      "role": "Imports"
    },
    {
      "package": "gamlss",
      "role": "Imports"
    },
    {
      "package": "lavaan",
      "version": ">= 0.6-21",
      "role": "Imports"
    },
    {
      "package": "VGAM",
      "version": ">= 1.1-14",
      "role": "Imports"
    },
    {
      "package": "lme4",
      "role": "Imports"
    },
    {
      "package": "extraoperators",
      "version": ">= 0.1.1",
      "role": "Imports"
    },
    {
      "package": "digest",
      "role": "Imports"
    },
    {
      "package": "fst",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.3.0",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "pander",
      "role": "Suggests"
    },
    {
      "package": "GPArotation",
      "role": "Suggests"
    },
    {
      "package": "rms",
      "role": "Suggests"
    }
  ],
  "_owner": "jwiley",
  "_selfowned": true,
  "_usedby": 4,
  "_updates": [
    {
      "week": "2025-35",
      "n": 1
    },
    {
      "week": "2025-36",
      "n": 5
    },
    {
      "week": "2026-25",
      "n": 5
    }
  ],
  "_tags": [],
  "_stars": 8,
  "_contributors": [
    {
      "user": "jwiley",
      "count": 163,
      "uuid": 322716
    }
  ],
  "_userbio": {
    "uuid": 322716,
    "type": "user",
    "name": "Joshua F. Wiley, Ph.D.",
    "followers": 56,
    "description": "I am a lecturer in the Turner Institute for Brain and Mental Health and School of Psychological Sciences at Monash University"
  },
  "_downloads": {
    "count": 1021,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/JWileymisc"
  },
  "_mentions": 1,
  "_devurl": "https://github.com/jwiley/jwileymisc",
  "_pkgdown": "https://joshuawiley.com/JWileymisc/",
  "_searchresults": 389,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/JWileymisc.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/jwiley/jwileymisc",
  "_realowner": "jwiley",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.2.0",
      "date": "2016-08-24"
    },
    {
      "version": "0.2.1",
      "date": "2016-09-01"
    },
    {
      "version": "0.3.0",
      "date": "2018-08-26"
    },
    {
      "version": "0.3.1",
      "date": "2018-09-15"
    },
    {
      "version": "1.0.0",
      "date": "2019-11-22"
    },
    {
      "version": "1.0.1",
      "date": "2019-12-11"
    },
    {
      "version": "1.1.0",
      "date": "2020-01-22"
    },
    {
      "version": "1.1.1",
      "date": "2020-04-28"
    },
    {
      "version": "1.2.0",
      "date": "2020-08-31"
    },
    {
      "version": "1.3.0",
      "date": "2022-05-10"
    },
    {
      "version": "1.4.0",
      "date": "2023-02-10"
    },
    {
      "version": "1.4.1",
      "date": "2023-10-05"
    },
    {
      "version": "1.4.2",
      "date": "2025-03-26"
    },
    {
      "version": "1.4.3",
      "date": "2025-04-13"
    },
    {
      "version": "1.4.4",
      "date": "2025-09-06"
    },
    {
      "version": "1.4.5",
      "date": "2026-06-18"
    }
  ],
  "_exports": [
    ".fround",
    ".quantilePercentiles",
    "APAStyler",
    "as.modelCompare",
    "as.modelDiagnostics",
    "as.modelPerformance",
    "as.modelTest",
    "as.na",
    "as.residualDiagnostics",
    "as.testDistribution",
    "cd",
    "compareIVs",
    "cor2cov",
    "corOK",
    "corplot",
    "cramerV",
    "density_inversion",
    "diffCircular",
    "egltable",
    "empirical_pvalue",
    "findSigRegions",
    "formatHtest",
    "formatMedIQR",
    "formatPval",
    "geom_tufterange",
    "gglikert",
    "hashDataset",
    "intSigRegGraph",
    "is.modelCompare",
    "is.modelDiagnostics",
    "is.modelPerformance",
    "is.modelTest",
    "is.naz",
    "is.residualDiagnostics",
    "is.testDistribution",
    "lagk",
    "meanCircular",
    "modelCompare",
    "modelDiagnostics",
    "modelPerformance",
    "modelTest",
    "moments",
    "naz.omit",
    "param_summary",
    "param_summary_format",
    "R2",
    "readRDSfst",
    "residualDiagnostics",
    "saveRDSfst",
    "scaleScore",
    "SEMSummary",
    "show",
    "smd",
    "star",
    "testDistribution",
    "theme_tufte",
    "timeshift",
    "TufteRange",
    "TukeyHSDgg",
    "VAConverter",
    "winsorizor"
  ],
  "_datasets": [
    {
      "name": "aces_daily",
      "title": "Multilevel Daily Data Example",
      "object": "aces_daily",
      "class": [
        "data.frame"
      ],
      "fields": [
        "UserID",
        "SurveyDay",
        "SurveyInteger",
        "SurveyStartTimec11",
        "Female",
        "Age",
        "BornAUS",
        "SES_1",
        "EDU",
        "SOLs",
        "WASONs",
        "STRESS",
        "SUPPORT",
        "PosAff",
        "NegAff",
        "COPEPrb",
        "COPEPrc",
        "COPEExp",
        "COPEDis"
      ],
      "rows": 6599,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "dot-fround",
      "title": "Function to round and format a number",
      "topics": [
        ".fround"
      ]
    },
    {
      "page": "dot-quantilePercentiles",
      "title": "Internal Function to Calculate Quantiles",
      "topics": [
        ".quantilePercentiles"
      ]
    },
    {
      "page": "aces_daily",
      "title": "Multilevel Daily Data Example",
      "topics": [
        "aces_daily"
      ]
    },
    {
      "page": "APAStyler",
      "title": "A generic function for pretty printing in (semi) APA Style",
      "topics": [
        "APAStyler"
      ]
    },
    {
      "page": "APAStyler.list",
      "title": "APAStyler method for lists",
      "topics": [
        "APAStyler.list"
      ]
    },
    {
      "page": "APAStyler.lm",
      "title": "APAStyler method for linear models",
      "topics": [
        "APAStyler.lm"
      ]
    },
    {
      "page": "APAStyler.mira",
      "title": "A generic function for pretty printing in (semi) APA Style",
      "topics": [
        "APAStyler.mira"
      ]
    },
    {
      "page": "APAStyler.modelTest.lm",
      "title": "APAStyler method for model tests from a linear model",
      "topics": [
        "APAStyler.modelTest.lm"
      ]
    },
    {
      "page": "APAStyler.modelTest.vglm",
      "title": "APAStyler method for model tests from a vglm multinomial model",
      "topics": [
        "APAStyler.modelTest.vglm"
      ]
    },
    {
      "page": "APAStyler.SEMSummary",
      "title": "A generic function for pretty printing in (semi) APA Style",
      "topics": [
        "APAStyler.SEMSummary"
      ]
    },
    {
      "page": "as.na",
      "title": "Coerces vectors to missing",
      "topics": [
        "as.na"
      ]
    },
    {
      "page": "cd",
      "title": "Change directory",
      "topics": [
        "cd"
      ]
    },
    {
      "page": "compareIVs",
      "title": "Compares the effects of various independent variables on dependent variables",
      "topics": [
        "compareIVs"
      ]
    },
    {
      "page": "compressedrds",
      "title": "Save and read RDS functions for using multithreaded \"ZSTD\" or \"LZ4\" compression",
      "topics": [
        "compressed RDS",
        "readRDSfst",
        "saveRDSfst"
      ]
    },
    {
      "page": "cor2cov",
      "title": "Convert a correlation matrix and standard deviations to a covariance matrix",
      "topics": [
        "cor2cov"
      ]
    },
    {
      "page": "corOK",
      "title": "Return a non-missing correlation matrix",
      "topics": [
        "corOK"
      ]
    },
    {
      "page": "corplot",
      "title": "Heatmap of a Correlation Matrix",
      "topics": [
        "corplot"
      ]
    },
    {
      "page": "cramerV",
      "title": "Calculate Phi or Cramer's V effect size",
      "topics": [
        "cramerV"
      ]
    },
    {
      "page": "density_inversion",
      "title": "KDE-based Inverse CDF Sampling for Synthetic Data",
      "topics": [
        "density_inversion"
      ]
    },
    {
      "page": "diffCircular",
      "title": "Calculate the Circular Difference",
      "topics": [
        "diffCircular"
      ]
    },
    {
      "page": "egltable",
      "title": "Function makes nice tables",
      "topics": [
        "egltable"
      ]
    },
    {
      "page": "empirical_pvalue",
      "title": "Calculates an empirical p-value based on the data",
      "topics": [
        "empirical_pvalue"
      ]
    },
    {
      "page": "findSigRegions",
      "title": "Function to find significant regions from an interaction",
      "topics": [
        "findSigRegions"
      ]
    },
    {
      "page": "formatHtest",
      "title": "Function to format the reuslts of a hypothesis test as text",
      "topics": [
        "formatHtest"
      ]
    },
    {
      "page": "formatMedIQR",
      "title": "Function to format the median and IQR of a variable",
      "topics": [
        "formatMedIQR"
      ]
    },
    {
      "page": "formatPval",
      "title": "Function to simplify formatting p-values for easy viewing / publication",
      "topics": [
        "formatPval"
      ]
    },
    {
      "page": "geom_tufterange",
      "title": "Tufte Range",
      "topics": [
        "geom_tufterange",
        "TufteRange"
      ]
    },
    {
      "page": "gglikert",
      "title": "Creates a plot for likert scale",
      "topics": [
        "gglikert"
      ]
    },
    {
      "page": "hashDataset",
      "title": "Create a character vector or file hash of a dataset and each variable",
      "topics": [
        "hashDataset"
      ]
    },
    {
      "page": "intSigRegGraph",
      "title": "Function to find significant regions from an interaction",
      "topics": [
        "intSigRegGraph"
      ]
    },
    {
      "page": "is.naz",
      "title": "Is a variable missing, non finite or zero length character?",
      "topics": [
        "is.naz"
      ]
    },
    {
      "page": "lagk",
      "title": "Create a lagged variable",
      "topics": [
        "lagk"
      ]
    },
    {
      "page": "lm2",
      "title": "Modified lm() to use a specified design matrix",
      "topics": [
        "lm2"
      ]
    },
    {
      "page": "meanCircular",
      "title": "Calculate a Circular Mean",
      "topics": [
        "meanCircular"
      ]
    },
    {
      "page": "modelCompare",
      "title": "Compare Two Models",
      "topics": [
        "as.modelCompare",
        "is.modelCompare",
        "modelCompare",
        "modelCompare.lm"
      ]
    },
    {
      "page": "modelDiagnostics",
      "title": "Model Diagnostics Functions",
      "topics": [
        "as.modelDiagnostics",
        "is.modelDiagnostics",
        "modelDiagnostics",
        "modelDiagnostics.lm"
      ]
    },
    {
      "page": "modelPerformance",
      "title": "Return Indices of Model Performance",
      "topics": [
        "as.modelPerformance",
        "is.modelPerformance",
        "modelPerformance",
        "modelPerformance.lm"
      ]
    },
    {
      "page": "modelTest",
      "title": "Detailed Tests on Models",
      "topics": [
        "as.modelTest",
        "is.modelTest",
        "modelTest",
        "modelTest.lm",
        "modelTest.vglm"
      ]
    },
    {
      "page": "moments",
      "title": "Estimate the first and second moments",
      "topics": [
        "moments"
      ]
    },
    {
      "page": "naz.omit",
      "title": "Missing and Zero Character Omit",
      "topics": [
        "naz.omit"
      ]
    },
    {
      "page": "param_summary",
      "title": "Calculates summaries for a parameter",
      "topics": [
        "param_summary"
      ]
    },
    {
      "page": "param_summary_format",
      "title": "Format a data frame of summary statistics",
      "topics": [
        "param_summary_format"
      ]
    },
    {
      "page": "plot.modelDiagnostics.lm",
      "title": "Plot Diagnostics for an lm model",
      "topics": [
        "plot.modelDiagnostics.lm"
      ]
    },
    {
      "page": "plot.residualDiagnostics",
      "title": "Plot Residual Diagnostics Default Method",
      "topics": [
        "plot.residualDiagnostics"
      ]
    },
    {
      "page": "plot.SEMSummary",
      "title": "Plots SEMSummary object",
      "topics": [
        "plot.SEMSummary"
      ]
    },
    {
      "page": "plot.SEMSummary.list",
      "title": "Plots SEMSummary.list object",
      "topics": [
        "plot.SEMSummary.list"
      ]
    },
    {
      "page": "plot.testDistribution",
      "title": "Plot method for testDistribution objects",
      "topics": [
        "plot.testDistribution"
      ]
    },
    {
      "page": "R2",
      "title": "Calculate R2 Values",
      "topics": [
        "R2",
        "R2.lm"
      ]
    },
    {
      "page": "residualDiagnostics",
      "title": "Residual Diagnostics Functions",
      "topics": [
        "as.residualDiagnostics",
        "is.residualDiagnostics",
        "residualDiagnostics",
        "residualDiagnostics.lm"
      ]
    },
    {
      "page": "roundedfivenum",
      "title": "Calculate a rounded five number summary",
      "topics": [
        "roundedfivenum"
      ]
    },
    {
      "page": "SEMSummary",
      "title": "Summary Statistics for a SEM Analysis",
      "topics": [
        "SEMSummary"
      ]
    },
    {
      "page": "SEMSummary.fit",
      "title": "Summary Statistics for a SEM Analysis",
      "topics": [
        "SEMSummary.fit"
      ]
    },
    {
      "page": "smd",
      "title": "Calculate Standardized Mean Difference (SMD)",
      "topics": [
        "smd"
      ]
    },
    {
      "page": "star",
      "title": "Function to simplify converting p-values to asterisks",
      "topics": [
        "star"
      ]
    },
    {
      "page": "testDistribution",
      "title": "Test the distribution of a variable against a specific distribution",
      "topics": [
        "as.testDistribution",
        "is.testDistribution",
        "testDistribution",
        "testDistribution.default"
      ]
    },
    {
      "page": "theme_tufte",
      "title": "Tufte Inspired Theme",
      "topics": [
        "theme_tufte"
      ]
    },
    {
      "page": "timeshift",
      "title": "Shift a time variable to have a new center (zero point)",
      "topics": [
        "timeshift"
      ]
    },
    {
      "page": "TukeyHSDgg",
      "title": "Tukey HSD Plot",
      "topics": [
        "TukeyHSDgg"
      ]
    },
    {
      "page": "VAConverter",
      "title": "Visual Acuity Converter",
      "topics": [
        "VAConverter"
      ]
    },
    {
      "page": "VAObject-class",
      "title": "An S4 class to hold visual acuity data",
      "topics": [
        "print,VAObject-method",
        "show,VAObject-method",
        "summary,VAObject-method",
        "VAObject-class",
        "[,VAObject,ANY,ANY,ANY-method",
        "[,VAObject-method"
      ]
    },
    {
      "page": "VASummaryObject-class",
      "title": "An S4 class to hold visual acuity summary data",
      "topics": [
        "plot,VASummaryObject,missing-method",
        "show,VASummaryObject-method",
        "VASummaryObject-class"
      ]
    },
    {
      "page": "winsorizor",
      "title": "Winsorize at specified percentiles",
      "topics": [
        "winsorizor"
      ]
    }
  ],
  "_readme": "https://github.com/jwiley/jwileymisc/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "bit",
    "bit64",
    "boot",
    "broom",
    "car",
    "carData",
    "cli",
    "clipr",
    "codetools",
    "colorspace",
    "corrplot",
    "cowplot",
    "cpp11",
    "crayon",
    "data.table",
    "DEoptimR",
    "Deriv",
    "digest",
    "doBy",
    "dplyr",
    "emmeans",
    "estimability",
    "extraoperators",
    "farver",
    "forcats",
    "foreach",
    "forecast",
    "Formula",
    "fracdiff",
    "fst",
    "fstcore",
    "gamlss",
    "gamlss.data",
    "gamlss.dist",
    "generics",
    "ggplot2",
    "ggpubr",
    "ggrepel",
    "ggsci",
    "ggsignif",
    "glmnet",
    "glue",
    "GPArotation",
    "gridExtra",
    "gtable",
    "haven",
    "hms",
    "isoband",
    "iterators",
    "jomo",
    "labeling",
    "lattice",
    "lavaan",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mgcv",
    "mice",
    "microbenchmark",
    "minqa",
    "mitml",
    "mnormt",
    "modelr",
    "multcompView",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "ordinal",
    "pan",
    "pbivnorm",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "polynom",
    "prettyunits",
    "progress",
    "psych",
    "purrr",
    "quadprog",
    "quantreg",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "readr",
    "reformulas",
    "rlang",
    "robustbase",
    "rpart",
    "rstatix",
    "S7",
    "scales",
    "shape",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "tzdb",
    "ucminf",
    "urca",
    "utf8",
    "vctrs",
    "VGAM",
    "viridisLite",
    "vroom",
    "withr",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "diagnostics-vignette.Rmd",
      "filename": "diagnostics-vignette.html",
      "title": "Diagnostics",
      "author": "Joshua F. Wiley",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Univariate Diagnostics",
        "Model Diagnostics"
      ],
      "created": "2019-11-02 05:04:22",
      "modified": "2025-01-24 04:17:19",
      "commits": 2
    },
    {
      "source": "exploratory-vignette.Rmd",
      "filename": "exploratory-vignette.html",
      "title": "Exploratory and Descriptive Statistics and Plots",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Descriptive Statistics",
        "Paired Data",
        "Correlation Summaries",
        "Grouped Correlations",
        "Likert Scale Plots"
      ],
      "created": "2019-11-02 05:04:22",
      "modified": "2025-01-24 04:17:19",
      "commits": 5
    },
    {
      "source": "model-test-vignette.Rmd",
      "filename": "model-test-vignette.html",
      "title": "Model Performance and Tests",
      "author": "Joshua F. Wiley",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Model Performance"
      ],
      "created": "2019-11-11 05:58:07",
      "modified": "2025-01-24 04:17:19",
      "commits": 4
    }
  ],
  "_score": 8.234459090227531,
  "_indexed": true,
  "_nocasepkg": "jwileymisc",
  "_universes": [
    "jwiley"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.4.5",
      "date": "2026-06-18T06:50:57.000Z",
      "distro": "noble",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "64846187fb3cf0d6e44b9f572613ef331f914097b3675401399ca5425245d335",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.4.5",
      "date": "2026-06-18T06:50:59.000Z",
      "distro": "noble",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "84490292e6c5d89a3e1b3c43fbe61322c76b4b83f1c1b38c1c89a3272a184117",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.4.5",
      "date": "2026-06-18T06:59:52.000Z",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "4330bb2ff8858589a404a1e2857d57609424edb2a7be2a51cd790c5de5cb4405",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.4.5",
      "date": "2026-06-18T07:01:59.000Z",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "17be3c54bb2aba7978e6a3f74dd06c829cb0969f6d3322193c569bdc3f7d0980",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.4.5",
      "date": "2026-06-18T06:51:01.000Z",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "15043162636eecd6160e7350dfb7e88e2d064e4c0e9ce0310a02827f4fc3aa57",
      "status": "success",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.4.5",
      "date": "2026-06-18T06:49:44.000Z",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "fbdc9fe9fea59b54557f006b3a33869a1936a753c1b6b7c4bc3ecf7ee933e2b9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.4.5",
      "date": "2026-06-18T06:49:49.000Z",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "ccaffbe3a7e4be001b5a901716be73219859dd413006acf8fa33c71f396472d5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.4.5",
      "date": "2026-06-18T06:49:43.000Z",
      "commit": "790debd374154c3bc04da87c866eb38663c3ed4e",
      "fileid": "f24c6d5e76768026dd029f3b386972c5eb52c8cc7519470386b292e605dde225",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jwiley/actions/runs/27741769418"
    }
  ]
}