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  "Title": "Generate Multivariate Discrete Data",
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  "Maintainer": "Chak Kwong (Tommy) Cheng <ccheng46@uic.edu>",
  "Description": "Generate multivariate discrete data with generalized\nPoisson, negative binomial and binomial marginal distributions\nusing user-specified distribution parameters and a target\ncorrelation matrix. The method is described in Cheng and\nDemirtas (2026) <doi:10.48550/arXiv.2602.07707>.",
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  "Date/Publication": "2026-02-20 14:18:22 UTC",
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      "title": "Convert multivariate binary data back to the original binomial scale",
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      "title": "Convert multivariate binary data back to the original generalized Poisson scale",
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      "title": "Convert multivariate binary data to mixed distribution outcomes",
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      "title": "Convert multivariate binary data back to the original negative binomial scale",
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        "BinToNB"
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    },
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      "page": "calc.bin.prob.B",
      "title": "Collapse binomial data outcomes to binary variable",
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        "calc.bin.prob.B"
      ]
    },
    {
      "page": "calc.bin.prob.GPD",
      "title": "Collapse discrete generalized Poisson outcomes to binary variables",
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    },
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      "page": "calc.bin.prob.NB",
      "title": "Collapse discrete negative binomial outcomes to binary variables",
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        "calc.bin.prob.NB"
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    {
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      "title": "Compute the tetrachoric correlation matrix for a multivariate standard normal distribution",
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      "page": "genB",
      "title": "Generate multivariate binomial data",
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      "title": "Generate multivariate Binary data using the Emrich and Piedmonte (1991) approach Approach",
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      "title": "Generate multivariate generalized Poisson data",
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      "page": "genMix",
      "title": "Generate multivariate mixed discrete data",
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      "title": "Generate multivariate negative binomial data",
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