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  "Title": "Relabelling MCMC Outputs of Mixture Models",
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  "Author": "Panagiotis Papastamoulis",
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  "Description": "The Bayesian estimation of mixture models (and more\ngeneral hidden Markov models) suffers from the label switching\nphenomenon, making the MCMC output non-identifiable. This\npackage can be used in order to deal with this problem using\nvarious relabelling algorithms.",
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  "Date/Publication": "2019-07-01 09:50:07 UTC",
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  "_owner": "cran",
  "_selfowned": true,
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    },
    {
      "version": "1.2",
      "date": "2013-12-04"
    },
    {
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      "date": "2014-11-05"
    },
    {
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      "date": "2015-07-07"
    },
    {
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      "date": "2016-02-01"
    },
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      "title": "Algorithms for solving the label switching problem",
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      "title": "Artificial Identifiability Constraints",
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      "title": "Make all estimated clusters agree with a pivot allocation",
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