{
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  "Package": "confintr",
  "Title": "Confidence Intervals",
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  "Authors@R": "person(\"Michael\", \"Mayer\", , \"mayermichael79@gmail.com\", role = c(\"aut\", \"cre\"))",
  "Description": "Calculates classic and/or bootstrap confidence intervals\nfor many parameters such as the population mean, variance,\ninterquartile range (IQR), median absolute deviation (MAD),\nskewness, kurtosis, Cramer's V, odds ratio, R-squared,\nquantiles (incl. median), proportions, different types of\ncorrelation measures, difference in means, quantiles and\nmedians. Many of the classic confidence intervals are described\nin Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap\nconfidence intervals are calculated with the R package 'boot'.\nBoth one- and two-sided intervals are supported.",
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  "BugReports": "https://github.com/mayer79/confintr/issues",
  "Repository": "https://mayer79.r-universe.dev",
  "Date/Publication": "2025-04-06 09:26:27 UTC",
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    "statistics"
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    "ci_cor",
    "ci_cramersv",
    "ci_f_ncp",
    "ci_IQR",
    "ci_kurtosis",
    "ci_mad",
    "ci_mean",
    "ci_mean_diff",
    "ci_median",
    "ci_median_diff",
    "ci_oddsratio",
    "ci_proportion",
    "ci_quantile",
    "ci_quantile_diff",
    "ci_rsquared",
    "ci_sd",
    "ci_skewness",
    "ci_var",
    "cramersv",
    "is.cint",
    "kurtosis",
    "moment",
    "oddsratio",
    "se_mean",
    "se_mean_diff",
    "se_proportion",
    "se_var",
    "skewness"
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      "page": "ci_chisq_ncp",
      "title": "CI for the NCP of the Chi-Squared Distribution",
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      ]
    },
    {
      "page": "ci_cor",
      "title": "CI for Correlation Coefficients",
      "topics": [
        "ci_cor"
      ]
    },
    {
      "page": "ci_cramersv",
      "title": "CI for the Population Cramer's V",
      "topics": [
        "ci_cramersv"
      ]
    },
    {
      "page": "ci_f_ncp",
      "title": "CI for the Non-Centrality Parameter of the F Distribution",
      "topics": [
        "ci_f_ncp"
      ]
    },
    {
      "page": "ci_IQR",
      "title": "CI for the IQR",
      "topics": [
        "ci_IQR"
      ]
    },
    {
      "page": "ci_kurtosis",
      "title": "CI for the Kurtosis",
      "topics": [
        "ci_kurtosis"
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    },
    {
      "page": "ci_mad",
      "title": "CI for the MAD",
      "topics": [
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      ]
    },
    {
      "page": "ci_mean",
      "title": "CI for the Population Mean",
      "topics": [
        "ci_mean"
      ]
    },
    {
      "page": "ci_mean_diff",
      "title": "CI for the Population Mean Difference",
      "topics": [
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      ]
    },
    {
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      "title": "CI for the Population Median",
      "topics": [
        "ci_median"
      ]
    },
    {
      "page": "ci_median_diff",
      "title": "CI for the Population Median Difference of two Samples",
      "topics": [
        "ci_median_diff"
      ]
    },
    {
      "page": "ci_oddsratio",
      "title": "CI for the Odds Ratio",
      "topics": [
        "ci_oddsratio"
      ]
    },
    {
      "page": "ci_proportion",
      "title": "CI for a Population Proportion",
      "topics": [
        "ci_proportion"
      ]
    },
    {
      "page": "ci_quantile",
      "title": "CI for a Population Quantile",
      "topics": [
        "ci_quantile"
      ]
    },
    {
      "page": "ci_quantile_diff",
      "title": "CI for the Population Quantile Difference of two Samples",
      "topics": [
        "ci_quantile_diff"
      ]
    },
    {
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      "title": "CI for the Population R-Squared",
      "topics": [
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      "title": "CI for the Population Std",
      "topics": [
        "ci_sd"
      ]
    },
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      "title": "CI for the Skewness",
      "topics": [
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      ]
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      "title": "CI for the Population Variance",
      "topics": [
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      ]
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        "moment"
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      "topics": [
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      ]
    },
    {
      "page": "print.cint",
      "title": "Print \"cint\" Object",
      "topics": [
        "print.cint"
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    },
    {
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      "title": "Standard errors",
      "topics": [
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        "se_mean",
        "se_mean_diff",
        "se_proportion",
        "se_var"
      ]
    },
    {
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      "title": "Sample Skewness",
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      ]
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