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  "Maintainer": "Cristina Tortora <grikris1@gmail.com>",
  "Description": "Model based clustering using the multivariate multiple\nScaled t (MST) and multivariate multiple scaled contaminated\nnormal (MSCN) distributions. The MST is an extension of the\nmultivariate Student-t distribution to include flexible tail\nbehaviors, Forbes, F. & Wraith, D. (2014)\n<doi:10.1007/s11222-013-9414-4>. The MSCN represents a\nheavy-tailed generalization of the multivariate normal (MN)\ndistribution to model elliptical contoured scatters in the\npresence of mild outliers (also referred to as \"bad\" points)\nand automatically detect bad points, Punzo, A. & Tortora, C.\n(2021) <doi:10.1177/1471082X19890935>.",
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  "Author": "Cristina Tortora [aut, cre, cph]\n(<https://orcid.org/0000-0001-8351-3730>), Antonio Punzo [aut]\n(<https://orcid.org/0000-0001-7742-1821>), Louis Tran [aut]",
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      "title": "Mixtures of Multiple Scaled Contaminated Normal Distributions.",
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      "title": "Mixture of Multiple Scaled Student-t Distributions",
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        "mst"
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      "title": "Multiple Scaled Contaminated Normal Distribution",
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        "rmscn"
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      "title": "Multiple Scaled Student-t Distribution",
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        "rmst"
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      "title": "A Mixture of Two Normal Distributions with outliers",
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