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  "Title": "Modelling Multivariate Binary Data with Blocks of Specific\nOne-Factor Distribution",
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  "Author": "Matthieu Marbac and Mohammed Sedki",
  "Maintainer": "Mohammed Sedki <mohammed.sedki@u-psud.fr>",
  "Description": "Modelling Multivariate Binary Data with Blocks of Specific\nOne-Factor Distribution. Variables are grouped into independent\nblocks. Each variable is described by two continuous parameters\n(its marginal probability and its dependency strength with the\nother block variables), and one binary parameter (positive or\nnegative dependency). Model selection consists in the\nestimation of the repartition of the variables into blocks. It\nis carried out by the maximization of the BIC criterion by a\ndeterministic (faster) algorithm or by a stochastic (more time\nconsuming but optimal) algorithm. Tool functions facilitate the\nmodel interpretation.",
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    "name": "Sedki M. A. ",
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      "title": "MvBinary a package for Multivariate Binary data",
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        "MvBinary"
      ]
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      "topics": [
        "ComputeMvBinaryCramer"
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    },
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