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  "Package": "sampcompR",
  "Title": "Comparing and Visualizing Differences Between Surveys",
  "Version": "0.3.3",
  "Authors@R": "c(person(\"Bjoern\", \"Rohr\",  email= \"bjoern.rohr@gesis.org\", role = c(\"aut\", \"cre\",\"cph\")),\nperson(\"Barbara\", \"Felderer\", email= \"barbara.felderer@gesis.org\", role = c(\"aut\")))",
  "Description": "Easily analyze and visualize differences between samples\n(e.g., benchmark comparisons, nonresponse comparisons in\nsurveys) on three levels. The comparisons can be univariate,\nbivariate or multivariate. On univariate level the variables of\ninterest of a survey and a comparison survey (i.e. benchmark)\nare compared, by calculating one of several difference measures\n(e.g., relative difference in mean), and an average difference\nbetween the surveys. On bivariate level a function can\ncalculate significant differences in correlations for the\nsurveys. And on multivariate levels a function can calculate\nsignificant differences in model coefficients between the\nsurveys of comparison. All of those differences can be easily\nplotted and outputted as a table. For more detailed information\non the methods and example use see Rohr, B., Silber, H., &\nFelderer, B. (2024). Comparing the Accuracy of Univariate,\nBivariate, and Multivariate Estimates across Probability and\nNonprobability Surveys with Population Benchmarks. Sociological\nMethodology <doi:10.1177/00811750241280963>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "URL": "https://bjoernrohr.github.io/sampcompR/",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev",
  "Repository": "https://bjoernrohr.r-universe.dev",
  "Date/Publication": "2026-05-28 07:07:56 UTC",
  "RemoteUrl": "https://github.com/bjoernrohr/sampcompr",
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    "User": "root"
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  "Author": "Bjoern Rohr [aut, cre, cph],\nBarbara Felderer [aut]",
  "Maintainer": "Bjoern Rohr <bjoern.rohr@gesis.org>",
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  "_published": "2026-05-28T07:57:25.608Z",
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    "extra/citation.json",
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    "extra/NEWS.txt",
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    "extra/readme.md",
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    "biv_compare_table",
    "biv_per_variable",
    "card",
    "dataequalizer",
    "descriptive_table",
    "heatmap_biv_compare",
    "missing_table",
    "multi_compare",
    "multi_compare_merge",
    "multi_compare_table",
    "multi_per_variable",
    "plot_biv_compare",
    "plot_multi_compare",
    "plot_uni_compare",
    "R_indicator",
    "uni_compare",
    "uni_compare_table"
  ],
  "_datasets": [
    {
      "name": "card",
      "title": "card",
      "object": "card",
      "file": "card.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "nearc2",
        "nearc4",
        "educ",
        "age",
        "fatheduc",
        "motheduc",
        "weight",
        "momdad14",
        "sinmom14",
        "step14",
        "reg661",
        "reg662",
        "reg663",
        "reg664",
        "reg665",
        "reg666",
        "reg667",
        "reg668",
        "reg669",
        "south66",
        "black",
        "smsa",
        "south",
        "smsa66",
        "wage",
        "enroll",
        "KWW",
        "IQ",
        "married",
        "libcrd14",
        "exper",
        "lwage",
        "expersq"
      ],
      "rows": 3010,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "biv_bias_per_variable",
      "title": "Returns a table based on the information of a 'biv_compare_object' that indicates the Average Absolute Bias (AARB) in Pearson's r or the Average Absolute Relative Bias (AARB) in Pearson's r for every data frame It can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.",
      "topics": [
        "biv_bias_per_variable"
      ]
    },
    {
      "page": "biv_compare",
      "title": "Compare Multiple Data Frames on a Bivariate Level",
      "topics": [
        "biv_compare"
      ]
    },
    {
      "page": "biv_compare_table",
      "title": "Returns a table based on the information of a 'biv_compare_object' which can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.",
      "topics": [
        "biv_compare_table"
      ]
    },
    {
      "page": "biv_per_variable",
      "title": "Returns a table based on the information of a 'biv_compare_object' that indicates the proportion of biased variables. It can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.",
      "topics": [
        "biv_per_variable"
      ]
    },
    {
      "page": "card",
      "title": "card",
      "topics": [
        "card"
      ]
    },
    {
      "page": "dataequalizer",
      "title": "Equalize dataframes",
      "topics": [
        "dataequalizer"
      ]
    },
    {
      "page": "descriptive_table",
      "title": "Get a Descriptive Table for Every Data Frame",
      "topics": [
        "descriptive_table"
      ]
    },
    {
      "page": "heatmap_biv_compare",
      "title": "Plot Difference or Relative Difference in Pearson's r for Multiple Data Frames",
      "topics": [
        "heatmap_biv_compare"
      ]
    },
    {
      "page": "missing_table",
      "title": "Returns a Table indicating the number and proportion of NA values for a selected set of variables.",
      "topics": [
        "missing_table"
      ]
    },
    {
      "page": "multi_compare",
      "title": "Compares data frames using different regression methods.",
      "topics": [
        "multi_compare"
      ]
    },
    {
      "page": "multi_compare_merge",
      "title": "Combine multi_compare_objects",
      "topics": [
        "multi_compare_merge"
      ]
    },
    {
      "page": "multi_compare_table",
      "title": "Create an Output-Table of a multi_compare_object",
      "topics": [
        "multi_compare_table"
      ]
    },
    {
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      "title": "Returns a table based on the information of a 'multi_compare_object' that indicates the proportion of biased variables. It can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.",
      "topics": [
        "multi_per_variable"
      ]
    },
    {
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      "title": "Plot Comparison of Multiple Data Frames on a Bivariate Level",
      "topics": [
        "plot_biv_compare"
      ]
    },
    {
      "page": "plot_multi_compare",
      "title": "Plot Multiple multi_compare_objects",
      "topics": [
        "plot_multi_compare"
      ]
    },
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      "topics": [
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      ]
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      "title": "Calculate the R-Indicator",
      "topics": [
        "R_indicator"
      ]
    },
    {
      "page": "sampcompR",
      "title": "sampcompR: A package for the comparison of samples",
      "topics": [
        "sampcompR"
      ]
    },
    {
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      "title": "Compare data frames and Plot Differences",
      "topics": [
        "uni_compare"
      ]
    },
    {
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      "title": "Create an Output-Table of a uni_compare_object",
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      ]
    }
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      "check": "OK",
      "buildurl": "https://github.com/r-universe/bjoernrohr/actions/runs/26561987166"
    }
  ]
}