{
  "_id": "6a11c483acfb0bcc41cff76a",
  "Package": "negligible",
  "Type": "Package",
  "Title": "A Collection of Functions for Negligible Effect/Equivalence\nTesting",
  "Version": "0.1.10",
  "Authors@R": "c(person(given = \"Robert\",\nfamily = \"Cribbie\",\nrole = c(\"aut\", \"cre\"),\nemail = \"cribbie@yorku.ca\"),\nperson(given = \"Udi\",\nfamily = \"Alter\",\nrole = \"aut\"),\nperson(given = \"Nataly\",\nfamily = \"Beribisky\",\nrole = \"aut\"),\nperson(given = \"Phil\",\nfamily = \"Chalmers\",\nrole = \"aut\"),\nperson(given = \"Alyssa\",\nfamily = \"Counsell\",\nrole = \"aut\"),\nperson(given = \"Linda\",\nfamily = \"Farmus\",\nrole = \"aut\"),\nperson(given = \"Naomi\",\nfamily = \"Martinez Gutierrez\",\nrole = \"aut\"),\nperson(given = \"Victoria\",\nfamily = \"Ng\",\nrole = \"ctb\"))",
  "Maintainer": "Robert Cribbie <cribbie@yorku.ca>",
  "Description": "Researchers often want to evaluate whether there is a\nnegligible relationship among variables. The 'negligible'\npackage provides functions that are useful for conducting\nnegligible effect testing (also called equivalence testing).\nFor example, there are functions for evaluating the equivalence\nof means or the presence of a negligible association\n(correlation or regression). Beribisky, N., Mara, C., &\nCribbie, R. A. (2020) <doi:10.20982/tqmp.16.4.p424>. Beribisky,\nN., Davidson, H., Cribbie, R. A. (2019)\n<doi:10.7717/peerj.6853>. Shiskina, T., Farmus, L., & Cribbie,\nR. A. (2018) <doi:10.20982/tqmp.14.3.p167>. Mara, C. & Cribbie,\nR. A. (2017) <doi:10.1080/00220973.2017.1301356>. Counsell, A.\n& Cribbie, R. A. (2015) <doi:10.1111/bmsp.12045>. van\nWieringen, K. & Cribbie, R. A. (2014) <doi:10.1111/bmsp.12015>.\nGoertzen, J. R. & Cribbie, R. A. (2010)\n<doi:10.1348/000711009x475853>. Cribbie, R. A., Gruman, J. &\nArpin-Cribbie, C. (2004) <doi:10.1002/jclp.10217>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev\nlibx11-dev zlib1g-dev",
  "Repository": "https://cribbie.r-universe.dev",
  "Date/Publication": "2025-12-16 16:45:44 UTC",
  "RemoteUrl": "https://github.com/cribbie/negligible",
  "RemoteRef": "HEAD",
  "RemoteSha": "6e83f24933ee70696d98eb9a9dd961b5a16b4f9d",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-23 15:11:54 UTC",
    "User": "root"
  },
  "Author": "Robert Cribbie [aut, cre],\nUdi Alter [aut],\nNataly Beribisky [aut],\nPhil Chalmers [aut],\nAlyssa Counsell [aut],\nLinda Farmus [aut],\nNaomi Martinez Gutierrez [aut],\nVictoria Ng [ctb]",
  "MD5sum": "76089f498d892cc59bb62a5a023897db",
  "_user": "cribbie",
  "_type": "src",
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  "_created": "2026-05-23T15:11:54.000Z",
  "_published": "2026-05-23T15:15:15.527Z",
  "_distro": "noble",
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    "author": "Robert Cribbie <cribbie@yorku.ca>",
    "committer": "Robert Cribbie <cribbie@yorku.ca>",
    "message": "remove fungible/ez and replacing ezanova with getDeltaRsquare\n",
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    "email": "cribbie@yorku.ca",
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    "twitter": "@rcribbie",
    "description": "Professor in the Quantitative Methods area within the Department of Psychology at York University in Toronto, Ontario",
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  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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  "_tags": [],
  "_topics": [
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    "negligible-effect-statistical-testing",
    "negligible-effect-testing",
    "statistics"
  ],
  "_stars": 4,
  "_contributors": [
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  "_realowner": "cribbie",
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    "neg.intcont",
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    "neg.semfit",
    "neg.srmr",
    "neg.twocors",
    "neg.twoindmeans"
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      "name": "perfectionism",
      "title": "Perfectionism Data",
      "object": "perfectionism",
      "class": [
        "data.frame"
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      "fields": [
        "group",
        "mpshfpre.sop",
        "mpshfpre.spp",
        "pcipre.total",
        "baipre.total",
        "cesdpre.total",
        "mpsfpre.cm",
        "mpshfpost.sop",
        "mpshfpost.spp",
        "pcipost.total",
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        "mpsfpost.cm",
        "atqpre.total",
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        "mpshfpre.oop",
        "mpshfpost.oop"
      ],
      "rows": 83,
      "table": true,
      "tojson": true
    }
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  "_help": [
    {
      "page": "neg.cat",
      "title": "Equivalence Testing for Categorical Variables",
      "topics": [
        "neg.cat",
        "print.neg.cat"
      ]
    },
    {
      "page": "neg.cfi",
      "title": "Equivalence Tests for CFI",
      "topics": [
        "neg.cfi",
        "print.neg.cfi"
      ]
    },
    {
      "page": "neg.cor",
      "title": "Test for Lack of Association between Two Continuous Normally Distributed Variables: Equivalence-based correlation tests",
      "topics": [
        "neg.cor",
        "print.neg.cor"
      ]
    },
    {
      "page": "neg.esm",
      "title": "Test for Evaluating Substantial Mediation",
      "topics": [
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        "print.neg.esm"
      ]
    },
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      "page": "neg.indvars",
      "title": "Negligible Effect Test for Variances of Independent Populations",
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    },
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      "page": "neg.intcat",
      "title": "Test for Negligible Interaction between Two Categorical Variables with a Continuous Outcome",
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        "print.neg.intcat"
      ]
    },
    {
      "page": "neg.intcont",
      "title": "Negligible Interaction Test for Continuous Predictors",
      "topics": [
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        "print.neg.intcont"
      ]
    },
    {
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      "title": "Negligible Effect Test for Normality of a Univariate Distribution",
      "topics": [
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        "print.neg.normal"
      ]
    },
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      "page": "neg.paired",
      "title": "Negligible Effect Test on the Difference between the Means of Dependent Populations",
      "topics": [
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        "print.neg.paired"
      ]
    },
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      "title": "Proportional Distance Function (post hoc function - not to be used independently)",
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        "neg.pd"
      ]
    },
    {
      "page": "neg.reg",
      "title": "Test for Evaluating Negligible Effect Between a Predictor and Outcome in a Multiple Regression Model",
      "topics": [
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        "print.neg.reg"
      ]
    },
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      "topics": [
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        "print.neg.rmsea"
      ]
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      "title": "Equivalence Tests for Fit Indices",
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    {
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      "title": "Equivalence Tests for SRMR",
      "topics": [
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      "title": "Test for Evaluating Negligible Effects of Two Independent or Dependent Correlation Coefficients: Based on Counsell & Cribbie (2015)",
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      ]
    },
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      "title": "Perfectionism Data",
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      ]
    }
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