{
  "_id": "6a49e14f2c82cd36148259a1",
  "Package": "betaMC",
  "Title": "Monte Carlo for Regression Effect Sizes",
  "Version": "1.3.4.9000",
  "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 Monte Carlo confidence intervals 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(). 'betaMC' combines\nideas from Monte Carlo confidence intervals for the indirect\neffect (Pesigan and Cheung, 2024\n<doi:10.3758/s13428-023-02114-4>) and the sampling covariance\nmatrix of regression coefficients (Dudgeon, 2017\n<doi:10.1007/s11336-017-9563-z>) to generate confidence\nintervals effect sizes in regression.",
  "URL": "https://github.com/jeksterslab/betaMC,\nhttps://jeksterslab.github.io/betaMC/",
  "BugReports": "https://github.com/jeksterslab/betaMC/issues",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "Config/roxygen2/version": "8.0.0.9000",
  "Repository": "https://jeksterslab.r-universe.dev",
  "Date/Publication": "2026-06-13 23:53:52 UTC",
  "RemoteUrl": "https://github.com/jeksterslab/betaMC",
  "RemoteRef": "HEAD",
  "RemoteSha": "ad33403be0696cecde3e62f60d269922fc60d9ca",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-14 00:13:03 UTC",
    "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>",
  "_user": "jeksterslab",
  "_type": "src",
  "_file": "betaMC_1.3.4.9000.tar.gz",
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  "_expires": "2026-10-13T04:45:01.000Z",
  "_created": "2026-06-14T00:13:03.000Z",
  "_published": "2026-07-05T04:45:03.552Z",
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    "email": "r.jeksterslab@gmail.com",
    "login": "jeksterslab",
    "description": "",
    "uuid": 11383089,
    "orcid": "0000-0003-4818-8420"
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      "n": 4
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      "date": "2025-10-19"
    },
    {
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    "monte-carlo",
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    "standardized-regression-coefficients"
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  "_contributors": [
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        "PCTSUPP",
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        "NARTIC",
        "PCTPUB"
      ],
      "rows": 46,
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    {
      "page": "BetaMC",
      "title": "Estimate Standardized Regression Coefficients and Generate the Corresponding Sampling Distribution Using the Monte Carlo Method",
      "concept": [
        "Beta Monte Carlo Functions"
      ],
      "topics": [
        "BetaMC"
      ]
    },
    {
      "page": "coef.betamc",
      "title": "Estimated Parameter Method for an Object of Class 'betamc'",
      "topics": [
        "coef.betamc"
      ]
    },
    {
      "page": "confint.betamc",
      "title": "Confidence Intervals Method for an Object of Class 'betamc'",
      "topics": [
        "confint.betamc"
      ]
    },
    {
      "page": "DeltaRSqMC",
      "title": "Estimate Improvement in R-Squared and Generate the Corresponding Sampling Distribution Using the Monte Carlo Method",
      "concept": [
        "Beta Monte Carlo Functions"
      ],
      "topics": [
        "DeltaRSqMC"
      ]
    },
    {
      "page": "DiffBetaMC",
      "title": "Estimate Differences of Standardized Slopes and Generate the Corresponding Sampling Distribution Using the Monte Carlo Method",
      "concept": [
        "Beta Monte Carlo Functions"
      ],
      "topics": [
        "DiffBetaMC"
      ]
    },
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      "concept": [
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      ],
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      "topics": [
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      "title": "Estimate Squared Partial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using the Monte Carlo Method",
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      "topics": [
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      ],
      "topics": [
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      ],
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