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  "Title": "Moment-Matching Approximation for t-Distribution Differences",
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  "Description": "Implements the moment-matching approximation for\ndifferences of non-standardized t-distributed random variables\nin both univariate and multivariate settings. The package\nprovides density, distribution function, quantile function, and\nrandom generation for the approximated distributions of\nt-differences. The methodology establishes the univariate\napproximated distributions through the systematic matching of\nthe first, second, and fourth moments, and extends it to\nmultivariate cases, considering both scenarios of independent\ncomponents and the more general multivariate t-distributions\nwith arbitrary dependence structures. Methods build on the\nclassical moment-matching approximation method (e.g., Casella\nand Berger (2024) <doi:10.1201/9781003456285>).",
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  "Author": "Yusuke Yamaguchi [aut, cre]",
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      "title": "Moment-Matching Approximation for General Multivariate t-Differences",
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      "title": "Distribution Functions for Multivariate Approximated t-Difference",
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