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  "Title": "Welch-Satterthwaite Approximation for t-Distribution Differences",
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  "Description": "Implements the Welch-Satterthwaite approximation for\ndifferences of non-standardized t-distributed random variables\nin both univariate and multivariate settings. The package\nprovides methods for computing effective degrees of freedom and\nscale parameters, as well as distribution functions for the\napproximated difference distribution. The methodology extends\nthe classical Welch-Satterthwaite framework from variance\ncombinations to t-distribution differences through careful\nmoment matching. Methods build on the classical\nWelch-Satterthwaite approach described in Welch (1947)\n<doi:10.1093/biomet/34.1-2.28> and Satterthwaite (1946)\n<doi:10.2307/3002019>.",
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  "Author": "Yusuke Yamaguchi [aut, cre]",
  "Maintainer": "Yusuke Yamaguchi <yamagubed@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-11-11 21:40:02 UTC",
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      "page": "tdiff_distributions",
      "title": "Distribution Functions for Approximated t-Difference",
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        "rtdiff",
        "tdiff_distributions"
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      "title": "Welch-Satterthwaite Approximation for General Multivariate t-Differences",
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      "title": "Welch-Satterthwaite Approximation for Univariate t-Differences",
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        "Background",
        "Univariate Example",
        "Using Distribution Functions",
        "Multivariate Example",
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        "References"
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