{
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  "Package": "betaNB",
  "Title": "Bootstrap for Regression Effect Sizes",
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  "Authors@R": "person(given = \"Ivan Jacob Agaloos\",\nfamily = \"Pesigan\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"r.jeksterslab@gmail.com\",\ncomment = c(ORCID = \"0000-0003-4818-8420\"))",
  "Description": "Generates nonparametric bootstrap confidence intervals\n(Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for\nstandardized regression coefficients (beta) and other effect\nsizes, including multiple correlation, semipartial\ncorrelations, improvement in R-squared, squared partial\ncorrelations, and differences in standardized regression\ncoefficients, for models fitted by lm().",
  "URL": "https://github.com/jeksterslab/betaNB,\nhttps://jeksterslab.github.io/betaNB/",
  "BugReports": "https://github.com/jeksterslab/betaNB/issues",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
  },
  "Author": "Ivan Jacob Agaloos Pesigan [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-4818-8420>)",
  "Maintainer": "Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-11 23:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/betaNB",
  "RemoteRef": "HEAD",
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  "_type": "src",
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    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.7\n",
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    "email": "r.jeksterslab@gmail.com",
    "login": "jeksterslab",
    "description": "",
    "uuid": 11383089,
    "orcid": "0000-0003-4818-8420"
  },
  "_registered": true,
  "_dependencies": [
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      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
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      "role": "Suggests"
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  "_pkgdown": "https://jeksterslab.github.io/betaNB/",
  "_searchresults": 18,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "LICENSE",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/jeksterslab/betanb",
  "_realowner": "jeksterslab",
  "_cranurl": false,
  "_releases": [
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      "date": "2023-04-12"
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      "version": "1.0.2",
      "date": "2023-07-09"
    },
    {
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      "date": "2023-10-15"
    },
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      "date": "2024-04-14"
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      "date": "2025-10-19"
    },
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      "date": "2026-06-12"
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    "BetaNB",
    "DeltaRSqNB",
    "DiffBetaNB",
    "NB",
    "PCorNB",
    "RSqNB",
    "SCorNB"
  ],
  "_datasets": [
    {
      "name": "nas1982",
      "title": "1982 National Academy of Sciences Doctoral Programs Data",
      "object": "nas1982",
      "class": [
        "data.frame"
      ],
      "fields": [
        "QUALITY",
        "NFACUL",
        "NGRADS",
        "PCTSUPP",
        "PCTGRT",
        "NARTIC",
        "PCTPUB"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "BetaNB",
      "title": "Estimate Standardized Regression Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "BetaNB"
      ]
    },
    {
      "page": "coef.betanb",
      "title": "Estimated Parameter Method for an Object of Class 'betanb'",
      "topics": [
        "coef.betanb"
      ]
    },
    {
      "page": "confint.betanb",
      "title": "Confidence Intervals Method for an Object of Class 'betanb'",
      "topics": [
        "confint.betanb"
      ]
    },
    {
      "page": "DeltaRSqNB",
      "title": "Estimate Improvement in R-Squared and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "DeltaRSqNB"
      ]
    },
    {
      "page": "DiffBetaNB",
      "title": "Estimate Differences of Standardized Slopes and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "DiffBetaNB"
      ]
    },
    {
      "page": "nas1982",
      "title": "1982 National Academy of Sciences Doctoral Programs Data",
      "topics": [
        "nas1982"
      ]
    },
    {
      "page": "NB",
      "title": "Generate the Sampling Distribution of Sample Covariances Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "NB"
      ]
    },
    {
      "page": "PCorNB",
      "title": "Estimate Squared Partial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "PCorNB"
      ]
    },
    {
      "page": "print.betanb",
      "title": "Print Method for an Object of Class 'betanb'",
      "topics": [
        "print.betanb"
      ]
    },
    {
      "page": "print.nb",
      "title": "Print Method for an Object of Class 'nb'",
      "topics": [
        "print.nb"
      ]
    },
    {
      "page": "RSqNB",
      "title": "Estimate Multiple Correlation Coefficients (R-Squared and Adjusted R-Squared) and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "RSqNB"
      ]
    },
    {
      "page": "SCorNB",
      "title": "Estimate Semipartial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping",
      "concept": [
        "Beta Nonparametric Bootstrap Functions"
      ],
      "topics": [
        "SCorNB"
      ]
    },
    {
      "page": "summary.betanb",
      "title": "Summary Method for an Object of Class 'betanb'",
      "topics": [
        "summary.betanb"
      ]
    },
    {
      "page": "vcov.betanb",
      "title": "Sampling Variance-Covariance Matrix Method for an Object of Class 'betanb'",
      "topics": [
        "vcov.betanb"
      ]
    }
  ],
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  "_score": 1.5563025007672873,
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  "_nocasepkg": "betanb",
  "_universes": [
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