{
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  "Package": "PLMIX",
  "Type": "Package",
  "Title": "Bayesian Analysis of Finite Mixture of Plackett-Luce Models",
  "Version": "2.2.0",
  "Date": "2025-06-30",
  "Authors@R": "c(person(\"Cristina\", \"Mollica\", role = c(\"aut\", \"cre\"), email = \"cristina.mollica@uniroma1.it\"), person(\"Luca\", \"Tardella\", role = \"aut\",email = \"luca.tardella@uniroma1.it\"))",
  "Description": "Fit finite mixtures of Plackett-Luce models for partial\ntop rankings/orderings within the Bayesian framework. It\nprovides MAP point estimates via EM algorithm and posterior\nMCMC simulations via Gibbs Sampling. It also fits MLE as a\nspecial case of the noninformative Bayesian analysis with vague\npriors. In addition to inferential techniques, the package\nassists other fundamental phases of a model-based analysis for\npartial rankings/orderings, by including functions for data\nmanipulation, simulation, descriptive summary, model selection\nand goodness-of-fit evaluation. Main references on the methods\nare Mollica and Tardella (2017) <doi:10.1007/s11336-016-9530-0>\nand Mollica and Tardella (2014) <doi:10.1002/sim.6224>.",
  "Maintainer": "Cristina Mollica <cristina.mollica@uniroma1.it>",
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    "bicPLMIX",
    "binary_group_ind",
    "freq_to_unit",
    "gibbsPLMIX",
    "gsPLMIX_to_mcmc",
    "is.top_ordering",
    "label_switchPLMIX",
    "likPLMIX",
    "loglikPLMIX",
    "make_complete",
    "make_partial",
    "mapPLMIX",
    "mapPLMIX_multistart",
    "paired_comparisons",
    "plot.gsPLMIX",
    "plot.mpPLMIX",
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    "ppcheckPLMIX_cond",
    "print.gsPLMIX",
    "print.mpPLMIX",
    "print.summary.gsPLMIX",
    "print.summary.mpPLMIX",
    "rank_ord_switch",
    "rank_summaries",
    "rPLMIX",
    "selectPLMIX",
    "summary.gsPLMIX",
    "summary.mpPLMIX",
    "unit_to_freq"
  ],
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      "title": "American Psychological Association Data (partial orderings)",
      "object": "d_apa",
      "class": [
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        "Rank_5"
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      "tojson": true
    },
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      "title": "Car Configurator Data (partial orderings)",
      "object": "d_carconf",
      "class": [
        "top_ordering",
        "matrix"
      ],
      "fields": [
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        "Rank_2",
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        "Rank_6"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "d_dublinwest",
      "title": "Dublin West Data (partial orderings)",
      "object": "d_dublinwest",
      "class": [
        "top_ordering",
        "matrix"
      ],
      "fields": [
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      "class": [
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        "matrix"
      ],
      "fields": [
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        "Rank_2",
        "Rank_3",
        "Rank_4",
        "Rank_5",
        "Rank_6"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "d_german",
      "title": "German Sample Data (complete orderings)",
      "object": "d_german",
      "class": [
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        "matrix"
      ],
      "fields": [
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        "Rank_2",
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      ],
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        "Rank_10"
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      "table": true,
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    {
      "name": "d_rice",
      "title": "Rice Voting Data (partial orderings)",
      "object": "d_rice",
      "class": [
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        "matrix"
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      "fields": [
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        "Rank_2",
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        "Rank_5"
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      "title": "Coercion into top-ordering datasets",
      "topics": [
        "as.top_ordering"
      ]
    },
    {
      "page": "bicPLMIX",
      "title": "BIC for the MLE of a mixture of Plackett-Luce models",
      "topics": [
        "bicPLMIX"
      ]
    },
    {
      "page": "binary_group_ind",
      "title": "Binary group membership matrix",
      "topics": [
        "binary_group_ind"
      ]
    },
    {
      "page": "d_apa",
      "title": "American Psychological Association Data (partial orderings)",
      "topics": [
        "d_apa"
      ]
    },
    {
      "page": "d_carconf",
      "title": "Car Configurator Data (partial orderings)",
      "topics": [
        "d_carconf"
      ]
    },
    {
      "page": "d_dublinwest",
      "title": "Dublin West Data (partial orderings)",
      "topics": [
        "d_dublinwest"
      ]
    },
    {
      "page": "d_gaming",
      "title": "Gaming Platforms Data (complete orderings)",
      "topics": [
        "d_gaming"
      ]
    },
    {
      "page": "d_german",
      "title": "German Sample Data (complete orderings)",
      "topics": [
        "d_german"
      ]
    },
    {
      "page": "d_nascar",
      "title": "NASCAR Data (partial orderings)",
      "topics": [
        "d_nascar"
      ]
    },
    {
      "page": "d_occup",
      "title": "Occupation Data (complete orderings)",
      "topics": [
        "d_occup"
      ]
    },
    {
      "page": "d_rice",
      "title": "Rice Voting Data (partial orderings)",
      "topics": [
        "d_rice"
      ]
    },
    {
      "page": "fill_single_entries",
      "title": "Utility to fill in single missing entries of top-(K-1) sequences in partial ordering/ranking datasets",
      "topics": [
        "fill_single_entries"
      ]
    },
    {
      "page": "freq_to_unit",
      "title": "Individual rankings/orderings from the frequency distribution",
      "topics": [
        "freq_to_unit"
      ]
    },
    {
      "page": "gibbsPLMIX",
      "title": "Gibbs sampling for a Bayesian mixture of Plackett-Luce models",
      "topics": [
        "gibbsPLMIX"
      ]
    },
    {
      "page": "gsPLMIX_to_mcmc",
      "title": "MCMC class objects from the Gibbs sampling simulations of a Bayesian mixture of Plackett-Luce models",
      "topics": [
        "gsPLMIX_to_mcmc"
      ]
    },
    {
      "page": "is.top_ordering",
      "title": "Top-ordering datasets",
      "topics": [
        "is.top_ordering"
      ]
    },
    {
      "page": "label_switchPLMIX",
      "title": "Label switching adjustment of the Gibbs sampling simulations for Bayesian mixtures of Plackett-Luce models",
      "topics": [
        "label_switchPLMIX"
      ]
    },
    {
      "page": "label_switchPLMIX_single",
      "title": "Label switching adjustment for mixtures of Plackett-Luce models",
      "topics": [
        "label_switchPLMIX_single"
      ]
    },
    {
      "page": "loglikelihood",
      "title": "Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models",
      "topics": [
        "Likelihood",
        "likelihood",
        "likPLMIX",
        "Loglikelihood",
        "loglikelihood",
        "loglikPLMIX"
      ]
    },
    {
      "page": "make_complete",
      "title": "Completion of partial rankings/orderings",
      "topics": [
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      "page": "make_partial",
      "title": "Censoring of complete rankings/orderings",
      "topics": [
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      "page": "mapPLMIX",
      "title": "MAP estimation for a Bayesian mixture of Plackett-Luce models",
      "topics": [
        "mapPLMIX"
      ]
    },
    {
      "page": "mapPLMIX_multistart",
      "title": "MAP estimation for a Bayesian mixture of Plackett-Luce models with multiple starting values",
      "topics": [
        "mapPLMIX_multistart"
      ]
    },
    {
      "page": "myorder",
      "title": "Utility to switch from a partial ranking to a partial ordering (missing positions denoted with zero)",
      "topics": [
        "myorder"
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    {
      "page": "paired_comparisons",
      "title": "Paired comparison matrix for a partial ordering/ranking dataset",
      "topics": [
        "paired_comparisons"
      ]
    },
    {
      "page": "PLMIX",
      "title": "Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings",
      "topics": [
        "PLMIX-package",
        "PLMIX"
      ]
    },
    {
      "page": "plot.gsPLMIX",
      "title": "Plot the Gibbs sampling simulations for a Bayesian mixture of Plackett-Luce models",
      "topics": [
        "plot.gsPLMIX"
      ]
    },
    {
      "page": "plot.mpPLMIX",
      "title": "Plot the MAP estimates for a Bayesian mixture of Plackett-Luce models",
      "topics": [
        "plot.mpPLMIX"
      ]
    },
    {
      "page": "ppcheckPLMIX",
      "title": "Posterior predictive check for Bayesian mixtures of Plackett-Luce models",
      "topics": [
        "ppcheckPLMIX"
      ]
    },
    {
      "page": "ppcheckPLMIX_cond",
      "title": "Conditional posterior predictive check for Bayesian mixtures of Plackett-Luce models",
      "topics": [
        "ppcheckPLMIX_cond"
      ]
    },
    {
      "page": "ppcheckPLMIX_cond_single",
      "title": "Conditional predictive posterior p-values",
      "topics": [
        "ppcheckPLMIX_cond_single"
      ]
    },
    {
      "page": "ppcheckPLMIX_single",
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